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Consolidated Laser Ranging Prediction Format (V1.01)
R. Ricklefs
The University of Texas at Ausin/ Center for
Space Research
ricklefs@csr.utexas.edu
for the ILRS Prediction Format Study Group
of the ILRS Data
Format and Procedures Workling Group
V1.01
February 2006
Abstract
The International Laser Ranging Service (ILRS) Predictions Formats Study
Group was created at the 12th International Workshop on Laser Ranging and
tasked with creating a consolidated laser ranging prediction format that
could accurately predict positions and ranges for a much wider variety of
laser ranging targets than had been previously possible. While several complications
arise in creating and implementing a format for such divergent targets,
the opportunities for ranging exotic targets from ordinary ranging stations
should compensate for any inconveniences.
Introduction
The satellite laser ranging (SLR) community of about 40 laser ranging stations
has used the standard "Tuned IRV" prediction format for up to
20 years. This format consists of a satellite state vector (x,y,and
z positions and velocities at a given time plus other parameters,
one set per day per satellite) tuned to specific field integrator
software and gravity field to provide maximum accuracy over the
integration period. The format can be found at: ftp://cddis.gsfc.nasa.gov/pub/reports/formats/tirv.format.
The ranging stations in the lunar laser ranging (LLR) community (2 stations
routinely gathering data, at least 3 others lunar-capable, and 3 several
retired) have historically either developed their own prediction software
or have ported others'. The software has used one of about 3 lunar and planetary
ephemeris packages, each containing a multi-year ephemeris.
Thus, the SLR community has generally used standard integrator software
and gravity field models with predictions supplied on a weekly or (now)
daily basis. The lunar community has used a standard multi-year ephemeris, a
mix of interpolation software, and weekly earth orientation parameter predictions.
Lunar ranging has been restricted to a few stations due in large part to
the low return signal strengths involved. The distance to the moon
(R), combined with the 1/R 4 scaling of the return signal strength to that
transmitted, means only a few photo-electrons per minute are seen by current
ranging systems using available technology.
This state of affairs has existed since the 1970s. There are now,
however, the possibility of several new missions that could change everything. For
instance, CRL would like to put a laser transponder on the moon. Groups
at NASA are proposing transponders combined with altimeters for future planetary
and asteroid missions. Transponders have a laser transmitter at both
ends of the ranging link. The receive signal strength therefore is
proportional to 1/R 2 times the transmit energy. Because of this,
the downlink energy is high enough for most existing SLR stations (including
SLR2000) to detect. This implies that there must soon be prediction procedures
and formats in place for the moon, other solar system bodies, and transponders
in transit.
This document is the result of an effort to combine the prediction requirements
of these various ranging techniques into a single laser ranging prediction
format. The format presented is the standard for laser ranging as of mid-2006.
It will undoubtedly undergo some changes over the years as we gain experience
with some of the more exotic targets.
Format Features
- No Euclidean Space Assumptions
The range to the environs
of the moon and beyond cannot be simply
calculated from the square root of the sum of the squares of
the reflector's topocentric x, y, and z coordinates. The movement
of the earth and moon during the approximately 2.5 second round
trip is large enough that the range must be computed as the sum
of the iteratively determined lengths of the outbound and inbound legs.
Because of the distances and masses involved, there is also a non-negligible
relativistic correction. The difference between the true range and the
Euclidean distance gives a range error for the moon of a few to hundreds
of microseconds. Omitting the relativistic correction causes a range error
of about 50 nsec. Stellar
aberration effects on pointing need to be considered since the
aberration is a second or two of arc at the moon, 30 or more arcseconds
for Mars and asteroids, and possibly more for close in spacecraft
in transmit.
The orbits of the moon and other major solar system
objects can not be integrated easily on site as those for small earth
satellites can. However, one can readily interpolate tables of geocentric
coordinates for these and the other laser targets. The tabular format
also benefits lower earth satellite ranging by removing the need to tune
the predictions to a particular integrator. In addition, other non-integrable
functions such as the drag can be included with a tabular format.
- Multiple records
The tabular format will need to include at least x,
y, z and a corresponding time for each ephemeris entry. This and other
specialized information will be spread over several records, the number
and type depending on target class. The time between each entry will normally
be constant and will be small enough to meet any reasonable precision
requirements using the supplied interpolation software. The time should
be large enough to avoid excessive file size. Typical values are 1 minute
for low earth satellites, 15 minutes at the moon, and hours to a day for
the planets. See the section Interpolator
Definition below for more information.
Record pairs like position
10, direction 1 and 2, and corrections 30, directions 1 and 2 should
be treated as sets. For a transponder or any other target for which the
time between entries is less than the round-trip light time, records
10 directions 1 and 2, etc. must be grouped so that the fire and receive
legs are right after each other. In other the words the records
are not in strict time order. See the transponder example in
Appendix B.
- Variable entry spacing
To accomodate high eccentricity satellites like
LRE, variable entry spacing is a possibility that is allowed for
in the format and the recommended interpolator.
- Line length limits and method of transmission
The file headers have a maximum length at this time of 82 characters. "Deep
space" targets may require position records longer than this. No
mode of distribution is assumed, so email, ftp, and scp should
be usable.
- Free format read, fixed format write
Due to the large dynamic range in the target positions and velocities,
the non-header data should be read in free format. The prediction providers
should write with a fixed format so that all fields line up for a given
satellite. Doing so will allow easy visual reading of the files for
debugging. White space (at least one space) is required between fields
to clearly separate them.
The format in appendix A show width and significant digits for each
field. For the free format records, this represents typical width for
planning purposes.
- True body fixed system of date and earth rotation parameters
The coordinate system used in the TIRV’s is pseudo-body-fixed.
The new format is usually presented in the true-body-fixed of date system.
(We also use the term International Terrestrial Reference Frame – ITRF).
In this reference system, the earth’s pole positions have been
included in the predicted positions. Earth Orientation Parameters (EOP’s),
x-pole and y-pole, were included in the TIRV files to allow rotation
from pseudo-body-fixed to true-body-fixed system to be computed at the
individual ranging stations. This was done when prediction sets were
often created up to a year in advance for use in ranging systems at
remote locations. Since fresh EOP’s are now easily available to
the prediction suppliers and since the predictions are usually
supplied daily via the internet, there is no need to apply the EOP information
on site, nor to back out values that may have been used in
the predictions. In addition, the excess length of day was rarely used
at the ranging stations. Earth orientation information will only be
supplied in the case of predictions that are presented in the inertial
(space-fixed) reference system.
- Multiple days per file
As with current IRVs distribution practices, the prediction file for
a particular satellite will contain several days worth of data. This
should help interpolating over day boundaries, which could otherwise
cause problems. Header records appears only once per file.
- Integration past end of file
Current IRVs permit integration well past the epoch of the last IRV
in a prediction set. This benefits stations that are cut off
from a supply of IRVs for a moderate period of time. The predictions show
steadily increasing runoff, but can still allow data to be taken, especially
with higher satellites. In addition, it is also possible to
extend the integrations several months into the future for the purpose
of scheduling. The latter use has fairly low accuracy requirements. It
should be possible for the site to integrate the last state vector in a prediction
file for some time into the future. (Targets on or orbiting the moon
and planets can not be handled in this way.) Software could be written
to convert the last state vector into a TIV file, which then could
be input to the existing scheduling software. This will not
help with other targets, however, and the lack of tuning in the CPF
state vectors will reduce the accuracy of the extrapolation. Given that
the extrapolation is only used for scheduling, this should not be a
serious problem.
- Elimination of drag message
Since the drag information can be built into the tabular state vectors,
there should be no need for separate drag messages. Drag could not be
easily incorporated into tuned IRVs.
Maneuvers will also be built into the CPF files. Therefore, maneuver
messages will only be needed to warn stations of the event.
- Compression
Common compression software such as compress, gnu zip, and others could
be used to reduce the CPF files sizes for distribution. Thus far, the
files have been of a manageable size and have not required compression
even with email distribution.
- File naming conventions
While there appears to be a wide range of file naming conventions used,
the following is required for the new prediction format:
satellite_cpf_yymmdd[_n].bbb
where
satellite
Official satellite name (See table in Appendix C and the up-to-date
list at http://ilrs.gsfc.nasa.gov/products_formats_procedures/satellite_names.html.
hyphens
are allowed, but no blank spaces
variable length, maximum 10 characters
nnn:
ephemeris version number. This is day of year + 500 to distinguish
CPFs from TIVs in time bias and other messages. The “500” can
be dropped when TIVs are discontinued. This field is three
digits with zero leading fill.
v:
version within the day. This is one digit, starting with '1'.
src:
prediction provider code, 3 characters long.
Format Field Comments
- SIC, NORAD and COSPAR ID's and satellite name
SIC, COSPAR, and NORAD
IDs and satellite name will be included in the prediction headers
as a convenient cross reference. Satellite names should be taken from
the standard list in Appendix C.
- Center of mass to reflector offset
The position vectors of spherical satellites always refer to
the satellite's center of mass. An optional record H5 can indicate
the range correction from the center of mass to the reflector
reference radius. If H5 is given the stations can correct the
interpolated two-way range station-satellite station from the
center of mass to the reflectors by subtracting twice this
correction.
Position vectors of non-spherical, attitude-controlled
satellites can either be given for the center of mass (center
of mass correction flag in header record H2 set to '0') or
the reflector reference point (correction flag set to '1').
As the stations usually do not know the attitude of the satellites
no action is required in either case.
As GNSS satellites (GPS,
GLONASS, Galileo) are seen from
the Earth's surface within a small angle only, reflector corrections
could be given as an approximate radial correction in header
record H5 if the given positions refer to the center of mass.
- Estimated accuracy
These records give an estimate of the expected accuracy (peak-to-peak)
at certain points during the day. This will be based on the
experience of the prediction provider. The intention is to use this
information to suggest or automatically set a station's range gate.
This will be especially valuable to automated stations so
that excessive time is not spent in searching for an optimal range
gate and tracking settings.
- Leap second
Application of leap seconds has always been a source of some
confusion. In the new format, each ephemeris record contains
a leap second value. In prediction files spanning the date of a
leap second, those records after the leap second will have
this flag set to the number of leap seconds (always '1' so far,
but standards allow for -1). In other words, a 3-day file starting
the day before a leap second is introduced will have the leap
second flag set to '0' for the first 24 hour segment and '1'
in the last 48 hours.
Even though the flag is non-zero, the leap
second is not applied to the CPF times or positions. The station
software needs to detect the leap second flag and handle the
time argument to the interpolator appropriately.
Prediction
files could still have the leap second flag set to non-zero for several days
after the leap second has been introduced.
Once the leap second flag returns to
'0' after introduction of the leap second, stations still running
on the old time system have to take into account the leap second.
Normally,
the leap second field will be set to '0'.
- Position and velocity fields
Artificial earth satellites will not include light time iteration
corrections. These 10-0 records give the position vector corresponding
to the same (common) epoch at the geocenter and satellite.
For any CPF computed using a solar system ephemeris (e.g. DE-403),
the 10-1 and 10-2 records are used and contain the light time
iteration. For these the vector spans fire time at the geocenter
to bounce time at the target(10-1) and from bounce time to
return time at the geocenter (10-2).
The signs of corresponding
elements in the outgoing and incoming positions fields will
have opposite signs. The same is true with the velocities.
- Correction
fields
As noted above, several complications arise in predicting ranges
and point angles of solar system targets. These are essentially
relativity and aberration. The aberration can be broken into
light-time aberration which applies to all targets and stellar aberration
which applies to those targets (such as moon and planets) which
are computed from solar system ephemerides. Near-earth artificial
satellites are usually computed in the geocentric system and do
not require the so-called stellar aberration. Light time aberration
is already applied implicitly in the state vectors supplied
in the new format. Stellar aberration corrections are applied
in computing point angles on site, while the relativistic corrections
are applied to the ranges. ESAA, pp 127-130.
The in-bound and
out-bound relativistic corrections are due to geodesic curvature.
The time-scale correction converts a solar system barycentric
range (elapsed time) into an elapsed time which would be observed
at a station. This correction can be 200 m for a round trip
range to Mars and is necessary because the vectors are computed
in the solar system barycentric frame using a solar system ephemeris.
The geodesic correction is included in the format while the
time-scale correction is site-dependent and is computed in the
sample on-site code. See ESAA.
If there are outgoing and incoming
correction records, the corresponding aberration and relativity
fields will have opposite signs. If there is only one correction
record, it will be the '30' record with direction = '1', and
the software must sense this and set the incoming aberration
values as negative of outgoing ones. For point angle computations,
the aberration values are added to the corresponding velocity
values, and the result is converted to topocentric coordinates.
(Aberration must not be added to the position as part of the
range computation!)
The relativistic corrections are both
positive, scalar values. These are added to the range based on
the vector distances calculated from the outgoing and incoming
positions. Again, if there is only one correction record, the
relativistic correction will need to be doubled for the round
trip range. An additional 0.27 nsec can be added to the round-trip
range as an earth-moon geodesic curvature correction. The resulting
range with relativistic corrections is then scaled from proper
to coordinate time.
- Lunar fields
Lunar predictions may include lunar features for offset pointing.
These features do not have SIC or COSPAR IDs since they are
not ranging targets. The ID for these objects will be given
bogus IDs, perhaps negative numbers. A list of targets, names,
and IDs will be supplied.
The libration vector (Euler angles f,q,y)
and Greenwich apparent solar time are available in the "rotation angles" record,
type 60, for the center of the moon file (SIC = 0099). This
allows a station to compute point angles to any arbitrary lunar
surface feature whose selenocentric coordinates they supply.
Stations without arcsecond level pointing accuracy may need this
as a basis for offset pointing to the reflectors. Ranges computed
in this way will not be accurate enough for ranging (some station-dependent
corrections have been left out).
To determine the pointing angles
using the lunar Euler angles, the center of moon to center of
earth vector is translated to the laser station coordinates using
light time iteration. The aberration corrections are then added
to this vector. The new aberrated body fixed coordinates are then
rotated through the negative of the Greenwich apparent sidereal
time. To this is added the result of creating the libration matrix
from the rotation
vector of (f,q,y ) (Skip Newhall, private correspondence; see
sample code) and premultiplying it by the station coordinate
vector (x,y,z). This gives the inertial coordinates of the
lunar feature. This vector is then rotated through the Greenwich
apparent sidereal time to give the body fixed ranging station
to feature vector of date, which can then be converted to RA/Dec,
then HA/Dec, and then azimuth/elevation. If the lunar positions
and velocities are supplied in inertial coordinates (reference
frame = 1), the first rotation, through -GAST, is unneeded.
- Transponder
fields
Transponders can either be synchronous or asynchronous. Synchronous
transponders fire when a laser pulse has been received from
a ground station. The delay between receiving and transmitting the
return pulse must be accounted for in both the prediction and
data flow. Asynchronous transponders fire continuously for
some period of time, as does the ground station. Both the spacecraft
and ground station record transmit and receive time based on
a local clock, which must be tied with an offset and rate to a master
clock.
Transponders need various time, frequency and range rate
fields in the format. With the exception of the oscillator relativity
correction, these are slowly changing with time, so they can
be included in the data header records. (Alternatively, some quantities
could be distributed in separate files.) These fields are as
follows.
- Pulse Repetition Frequency (PRF) - 1x10-5 to 1x106 Hz
- Asynchronous transponders only.
- Transponder transmit delay - 10sec to 1 msec
- Synchronous transponders: delay between receive and fire
- Asynchronous transponders: delay between fire command
and fire
- Transponder UTC offset - 10 nsec to 1 second
- Asynchronous transponders only
- Oscillator Frequency Drift - 1 part in 1012 -1015/day
- Asynchronous Transponders orbiting a solar system body
- Corrects for the drift of the satellite's on-board oscillator.
- Relativity Correction to Satellite Oscillator Time Scale for
1 Way Range Rates - 1.5m/sec - 1cm/sec (5 nsec/sec - 0.03
nsec/sec)
- Asynchronous Transponder orbiting a solar system body
- Corrects for range rate change due to satellite orbiting
in a different gravitational field.
- Range rate is also needed to an estimated accuracy of
15 cm/sec, but this is computable from positions and/or velocities
given a small enough time between vectors (5-10 sec).
As with lunar ranging, it may be necessary to compute point angles
and range based on rotation angles of a planet or moon. While
it is convenient and very accurate to use Euler angles for the
moon, the universal system adopted by the IAU/IAG/COSPAR Working
Group on Cartographic Coordinates and Rotational Elements of the
Planets and Satellites uses the right ascension and declination
of the body's pole as well as the position of the body's prime
meridian (a0, d0, and W ). See Davies or the ESAA for more details.
These quantities also have a place in the new prediction format
as do x, y, and z offsets from the center of the main body (e.g.,
a planet).
Interpolator Definition
The baseline for interpolation of the new format predictions will be a
10 point (9th order) Lagrange interpolation algorithm that allows for variably
spaced record times. A sample interpolator has been written to accompany
the new format. Recent investigations of study group members show the following
record spacing to be reasonable, using position (X, Y, and Z) only. Note
that the MGS (Mars Global Surveyor) results are identical with the step
size of the Integration of the satellite's orbit. If the target had been
on Mars, the interval would have been much larger.
Satellite |
Interval (min) |
| |
Degree 7 |
Degree 9 |
| |
(8 point) |
(10 point) |
| CHAMP (LEO) |
2 |
3 |
| GFO-1 |
3 |
4 |
| TOPEX |
4 |
5 |
| LAGEOS |
5 |
10 |
| GPS |
15 |
30 |
| Moon |
30 |
60 |
| MGS at Mars |
- |
0.3 |
It is anticipated that the ranging stations could
use a variety of interpolation schemes, preferably Lagrange. (Splines
are strongly discouraged.) However, the baseline is the 10 point
Lagrange interpolation and a maximum error due to production and
interpolation of the predicted ephemeris of less than 1 nsec in
range. To be conservative, prediction providers should use the
intervals above for the 8 point interpolation. Any alternate interpolation
scheme must provide 1 nsec agreement using a grid no narrower than
the above. Interpolation must always be done in Cartesian (X, Y,
Z) space and not in range/point angles for acceptable accuracy.
The interpolation time must be between the middle 2 points
of the interpolation series for maximum accuracy (i.e., between
the 5th and 6th points of a 10 point interpolator). See Abramowitz
and Stegun for details.
Sample code
Sample station implementation code incorporating the new interpolator has
been developed and will be supplied in FORTRAN and C. This computer software
handles the computation of topocentric ranging predictions rigorously for
artificial satellites near or distant, the moon, and other solar system
bodies. Targets computed from a geocentric ephemeris and those computed
using a solar system barycentric ephemeris (moon, planets, satellites of
either) must be handled differently, but the software package will call
those routines necessary based on target. See appendix D for more details.
Constants
The speed of light used by both prediction centers and stations should
be the IERS Convention 20003 standard of 299792458 m/sec. Site coordinates
should be in the International Terrestrial Reference Frame (ITRF). Although
JPL’s DE-403 ephemeris is not, the differences are not significant
for predictions and normal point formation. Lunar reflector coordinates
are usually supplied by the creators of the ephemeris and are the result
of fitting the ranging data.
Conclusion
The requirements established for this study group for improved prediction
accuracy and inclusion of exotic targets is met through the ILRS tabular
prediction format. The new format covers 4 different target types in one
prediction format and sample software set. It opens up opportunities for
most stations to range a wider variety of targets and will naturally solve
several difficulties in current SLR predictions. The format will come at
the expense of some software retooling and larger file transfers. It will,
however, provide a flexible platform for laser ranging predictions into
the foreseeable future.
Study Group
This format is the result of combined efforts by the study group members:
- R. Ricklefs, chair, University of Texas/McDonald Observatory,
and CSR
- J. McGarry, co-chair, NASA/Goddard Space Flight Center
- G. Appleby, NERC Space Geodesy Facility
- G. Bianco, Agenzia Spaziale Italiano
- C. Clarke, Honeywell Technology Solutions, Inc.
- R. Eanes, University of Texas, Center for Space Research
- W. Gurtner, Astronomical Institute University of Bern
- J. Horvath, Honeywell Technology Solutions, Inc.
- J. Luck, Electro Optic Systems
- D. McClure, Honeywell Technology Solutions, Inc.
- C. Moore, Electro Optic Systems
- J. Mueller, University of Hannover
- D. Rowlands, NASA/Goddard Space Flight Center
- U. Schreiber, Technical University of Munich
- R. Wood, NERC Space Geodesy Facility
- W. Wu, Yunnan Observatory, Chinese Academy of Sciences
- T. Yoshino, Communications Research Laboratory
References
Abramowitz, M. And Stegun, I. A., Handbook of Mathematical Functions with
Formulas, Graphs, and Mathematical Tables , National Bureau of Standards,
Washington, 1964, p. 878.
Davies, M. E., et al (1991) "Report of the IAU/IAG/COSPAR Working
Group on Cartographic Coordinates and Rotational Elements of the Planets
and Satellites: 1991," Celestial Mechanics, 53, 377-397.
Seidelmann, P.K., ed. Explanatory Supplement to the Astronomical
Almanac , University Science Books, Mill Valley, 1992
Appendix A. Prediction Format Version
1.00/1.01
1) Data headers
Header type 1 Basic information - 1 (required)
1-2 A2 Record Type (= "H1")
4-6 A3 "CPF"
8-9 I2 Format Version
12-14 A3 Ephemeris Source (e.g., "HON", "UTX ")
16-19 I4 Year of ephemeris production
21-22 I2 Month of ephemeris production
24-25 I2 Day of ephemeris production
27-28 I2 Hour of ephemeris production (UTC)
31-34 I4 Ephemeris Sequence number
36-45 A10 Target name from official list (e.g. lageos1)
47-56 A10 Notes (e.g., "041202","DE-403")
Header type 2 Basic information - 2 (required)
1-2 A2 Record Type (= "H2")
4-11 I8 COSPAR ID
13-16 I4 SIC
18-25 I8 NORAD ID
27-30 I4 Starting Year
32-33 I2 Starting Month
35-36 I2 Staring Day
38-39 I2 Starting Hour (UTC)
41-42 I2 Starting Minute (UTC)
44-45 I2 Starting Second (UTC)
47-50 I4 Ending Year
52-53 I2 Ending Month
55-56 I2 Ending Day
58-59 I2 Ending Hour (UTC)
61-62 I2 Ending Minute (UTC)
64-65 I2 Ending Second (UTC)
67-71 I5 Time between table entries (UTC seconds)(=0 if variable)
73 I1 Compatibility with TIVs = 1 (=> integrable, geocentric ephemeris)
75 I1 Target type
1=passive (retro-reflector) artificial satellite
2=passive (retro-reflector) lunar reflector
3=synchronous transponder
4=asynchronous transponder
77-78 I2 Reference frame
0 =geocentric true body fixed (default)
1=geocentric space fixed (i.e. Inertial) (True of Date)
2=geocentric space fixed (Mean of Date J2000)
80 I1 Rotational angle type
0= Not Applicable
1= Lunar Euler angles: ?, ?, and ?
2 = North pole Right Ascension and Declination, and angle to prime meridian (?0, ?0, and W)
82 I1 Center of mass correction
0= None applied. Prediction is for center of mass of target
1= Applied. Prediction is for retro-reflector array
Header type 3 Expected accuracy
1-2 A2 Record Type(="H3")
4-8 I5 Along-track run-off after 0 hours (meters)
10-14 I5 Cross-track run-off after 0 hours (meters)
16-20 I5 Radial run-off after 0 hours (meters)
22-26 I5 Along-track run-off after 6 hours (meters)
28-32 I5 Cross-track run-off after 6 hours (meters)
34-38 I5 Radial run-off after 6 hours (meters)
40-44 I5 Along-track run-off after 24 hours (meters)
46-50 I5 Cross-track run-off after 24 hours (meters)
52-56 I5 Radial run-off after 24 hours (meters)
Header type 4 Transponder information
1-2 A2 Record Type (= "H4")
4-15 F12.5 Pulse Repetition Frequency (PRF) in Hz
17-26 F10.4 Transponder transmit delay in microseconds
28-38 F11.2 Transponder UTC offset in microseconds
40-50 F11.2 Transponder Oscillator Drift in parts in 1015
Header type 5 Spherical satellite center of mass correction
1-2 A2 Record Type (= "H5")
4-10 F7.4 Approximate center of mass to reflector offset in meters (always positive)
Header type 9 End of header (Last header record)
1-2 A2 Record Type (= "H9")
2) Ephemeris entry (repeat as needed)
NOTE: ALL fields MUST be separated by spaces, since these records are read free format.
The field widths (e.g., I5, f12.5) are suggestions, and should be sized according to the target's needs.
Record type 10 Position
1-2 A2 Record Type (= "10")
I1 Direction flag* (common epoch = 0; transmit = 1; receive = 2)
I5 Modified Julian Date (MJD)
F13.6 Seconds of Day (UTC) (Transmit or receive)
I2 Leap second flag (= 0 or the value of the new leap second)
F17.3 Geocentric X position in meters
F17.3 Geocentric Y position in meters
F17.3 Geocentric Z position in meters
Record type 20 Velocity
1-2 A2 Record Type (= "20")
I1 Direction flag* (common epoch = 0; transmit = 1; receive = 2)
F19.6 Geocentric X velocity in meters/second
F19.6 Geocentric Y velocity in meters/second
F19.6 Geocentric Z velocity in meters/second
Record type 30 Corrections (All targets computed from a solar system ephemeris)
1-2 A2 Record Type (= "30")
A1 Direction flag (common epoch* = 0;transmit = 1; receive = 2)
F18.6 X stellar aberration correction in meters
F18.6 Y stellar aberration correction in meters
F18.6 Z stellar aberration correction in meters
F5.1 Relativistic range correction in nsec (positive number)
Record type 40 Transponder specific (Transponders)
1-2 A1 Record Type (= "40")
F6.3 Oscillator relativity correction in meters/second
Record type 50 Offset from center of main body (Surface features and satellites)
1-2 A2 Record Type (= "50")
I1 Direction flag (bounce=0; transmit = 1; receive = 2)
I5 Modified Julian Date (MJD)
f13.6 Seconds of Day (UTC)
a10 Name of target (no spaces in middle)
f17.3 X position offset in meters
f17.3 Y position offset in meters
f17.3 Z position offset in meters
Record type 60 Rotation angle of offset (Surface features)
(See Rotation Angle Type in header record 2.)
1-2 A2 Record Type (= "60")
I5 Modified Julian Date (MJD)
F13.6 Seconds of Day (UTC)
F17.12 Rotation angle 1 in degrees (For moon: ? )
F17.12 Rotation angle 2 in degrees (For moon: ? )
F17.12 Rotation angle 3 in degrees (For moon: ?)
F17.12 Greenwich Apparent Sidereal Time in hours
Record type 70 Earth orientation (For space-fixed mode,
as needed, typically once a day)
1-2 A2 Record Type (= "70")
I5 Modified Julian Date (MJD)
I6 Seconds of Day (UTC)
F8.5 X pole (arcseconds)
F8.5 Y pole (arcseconds)
F10.6 UT1-UTC (seconds)
Record type 99 Ephemeris Trailer (last record in ephemeris)
1-2 A2 Record Type (= "99")
3) Comments
1-2 A2 Record Type (= "00")
3-80 A Free format comments
* Direction flag has the following meanings (see Appendix C):
- Common epoch (0): instantaneous vector between geocenter and target, without
light-time iteration. This epoch is the same as found on corresponding TIVs.
- Transmit (1): position vector contains light time iterated travel time from the
geocenter to the target at the transmit epoch.
- Receive (2): position vector contains light time iterated travel time from the
target to the geocenter at the receive epoch. (The sign of each element is opposite
that of the transmit vector.)
Appendix B - Sample Prediction Configurations
Note: the number after the hyphen in the typical configurations below refer
to the direction indicator, 1 for outbound, 2 for inbound.
1. Most earth-orbitting artificial satellites
A typical record configuration for most satellite is the following. Very
high satellites may benefit from the return leg position, record 12.
H1 H2 H3 H9 10-1 10-1 10-1 ... 99
Example:
H1 CPF 1 AIU 2005 11 16 4 8201 gps35
H2 9305401 3535 22779 2005 11 15 23 59 47 2005 11 20 23 29 47 900 1 1 0 0 0
H9
10 0 53689 86387.000000 0 -13785362.868 -12150743.695 19043830.747
10 0 53690 887.000000 0 -13656536.158 -14288496.731 17628980.237
10 0 53690 1787.000000 0 -13618594.073 -16250413.260 15908160.431
10 0 53690 2687.000000 0 -13647177.924 -18001187.561 13911910.138
10 0 53690 3587.000000 0 -13712868.344 -19511986.614 11675401.577
10 0 53690 4487.000000 0 -13782475.931 -20761369.576 9237779.852
...
99
2. Lunar reflectors or distant earth satellites (beyond GPS, etc)
For lunar reflectors, a typical sequence of records would be as follows.
Note that the '32' record is not really needed for the moon. The aberration
corrections are not needed unless the orbit is cormputed relative to a solar
system ephemeris, as the moon is.
H1 H2 H3 H9 10-1 10-2 30-1 30-2 10-1 10-2 30-1 30-2 10-1 10-2 30-1 30-2 ... 99
Example:
H1 CPF 1 UTX 2005 11 16 14 8201 apollo15 jpl_de-403
H2 103 103 0 2005 11 17 0 0 0 2005 11 21 23 45 0 900 0 2 0 0 0
H9
10 1 53691 0.0 0 343226579.261 46543054.740 166061912.378
10 2 53691 0.0 0 -343237287.411 -46403753.013 -166044491.398
30 1 -7566. 36724. 5545. 25.5
10 1 53691 900.0 0 345427390.701 24820813.890 166269371.365
10 2 53691 900.0 0 -345429119.195 -24681112.863 -166251952.876
30 1 -5221. 37124. 5504. 25.5
10 1 53691 1800.0 0 346255366.913 3006463.995 166475893.820
10 2 53691 1800.0 0 -346248108.749 -2866942.040 -166458477.824
30 1 -2855. 37375. 5463. 25.5
...
99
For the center of the moon, the libration information needs to be carried
along.
H1 H2 H3 H9 10-1 10-2 30-1 30-2 60 10-1 10-2 30-1 30-2 60 10-1 10-2 30-1 30-2 60 ... 90 Example:
H1 CPF 1 UTX 2005 11 16 14 8201 luncenter jpl_de-403
H2 99 99 0 2005 11 17 0 0 0 2005 11 21 23 45 0 900 0 2 0 1 0
H9
10 1 53691 0.0 0 344918986.877 46883148.021 165882903.645
10 2 53691 0.0 0 -344929799.893 -46742993.132 -165865415.671
30 1 -7566. 36724. 5545. 25.5
60 53691 0.0 -0.762524039740 21.927815073381 242.085911540111 3.743252931977
10 1 53691 900.0 0 347138025.698 25052846.263 166090930.914
10 2 53691 900.0 0 -347139804.259 -24912287.206 -166073445.455
30 1 -5221. 37124. 5504. 25.5
60 53691 900.0 -0.762477162557 21.927762020202 242.223125654342 3.993937427448
10 1 53691 1800.0 0 347977335.938 3129493.252 166298018.604
10 2 53691 1800.0 0 -347970072.850 -2989111.915 -166280535.662
30 1 -2855. 37375. 5463. 25.5
60 53691 1800.0 -0.762430689795 21.927708977647 242.360340162630 4.244621923024
...
99
or (for inertial systems)
H1 H2 H3 H9 10-1 10-2 30-1 30-2 50 60 10-1 10-2 30-1 30-2 50 60 10-1 10-2 30-1 30-2 50 60 ... 99 3. Asynchronous Transponders
A typical record sequence would be the folowing.
H1 H2 H3 H4 H9 10-1 10-2 30-1 30-2 40 10-1 10-2 30-1 30-2 40 10-1 10-2 30-1 30-2 40... 99
Example:
H1 CPF 1 GSC 2004 03 30 12 901 lro
H2 99999999 9999 99999999 2004 04 04 00 00 00 2004 04 04 05 00 00 10 0 4 0 0 0
H3 0 0 0 1 0 0 5 1 1
H4 1999.91715 273.1500 2004.93 15.30
H9
10 1 53098 84449.02096 -125015785900.315 -238593151366.328 113777817699.433
10 2 53099 0.00000 -157578821821.085 -218511517400.466 113800334257.752
20 1 -4900.351123 27002.440493 -11504.716991
20 2 -1033.856498 27424.269894 -11503.554375
30 1 14960874.918060 -6906109.317657 1955191.986389 19356.3
30 2 -13838706.981995 8961558.044586 -1956244.853897 19361.8
40 0.1000
10 1 53098 84459.01980 -125189460917.443 -238502228781.030 113777934456.549
10 2 53099 10.00000 -157737908754.342 -218396877560.796 113800451035.803
20 1 -4880.719560 27005.997166 -11504.711036
20 2 -1013.916777 27425.015665 -11503.548412
30 1 14955868.474579 -6917009.332855 1955188.391006 19356.3
30 2 -13832201.994965 8971645.220612 -1956241.253082 19361.8
40 0.1000
10 1 53098 84469.01863 -125363069927.043 -238411179620.121 113778051444.382
10 2 53099 20.00000 -157896912383.972 -218282121726.361 113800568044.534
20 1 -4861.085417 27009.539567 -11504.705081
20 2 -993.976518 27425.746937 -11503.542448
30 1 14950854.096252 -6927905.739502 1955184.780594 19356.3
30 2 -13825689.658722 8981727.696381 -1956237.637238 19361.9
40 0.1000
...
99
4. Synchronous Transponders
A typical record sequence would be:
H1 H2 H3 H4 H9 10-1 10-2 30-1 30-2 10-1 10-2 30-1 30-2 10-1 10-2 30-1 30-2 ... 99
Example:
H1 CPF 1 GSC 2004 03 30 12 901 xponder1
H2 99999999 9999 99999999 2004 04 04 00 00 00 2004 04 04 05 00 00 10 0 3 0 0 0
H3 0 0 0 1 0 0 5 1 1
H4 0.00000 273.1500 0.00 0.00
H9
10 1 53098 84449.02096 -125015785900.315 -238593151366.328 113777817699.433
10 2 53099 0.00000 -157578821821.085 -218511517400.466 113800334257.752
20 1 -4900.351123 27002.440493 -11504.716991
20 2 -1033.856498 27424.269894 -11503.554375
30 1 14960874.918060 -6906109.317657 1955191.986389 19356.3
30 2 -13838706.981995 8961558.044586 -1956244.853897 19361.8
10 1 53098 84459.01980 -125189460917.443 -238502228781.030 113777934456.549
10 2 53099 10.00000 -157737908754.342 -218396877560.796 113800451035.803
20 1 -4880.719560 27005.997166 -11504.711036
20 2 -1013.916777 27425.015665 -11503.548412
30 1 14955868.474579 -6917009.332855 1955188.391006 19356.3
30 2 -13832201.994965 8971645.220612 -1956241.253082 19361.8
10 1 53098 84469.01863 -125363069927.043 -238411179620.121 113778051444.382
10 2 53099 20.00000 -157896912383.972 -218282121726.361 113800568044.534
20 1 -4861.085417 27009.539567 -11504.705081
20 2 -993.976518 27425.746937 -11503.542448
30 1 14950854.096252 -6927905.739502 1955184.780594 19356.3
30 2 -13825689.658722 8981727.696381 -1956237.637238 19361.9
...
99
Appendix C - How to Create Consolidated
Prediction Format Files: A Cookbook
At the Laser Workshop in Eastbourne in October, 2005 the ILRS Governing
Board set the goal of converting all stations from the Tuned Inter-range
Vectors (TIVs) to the new Consolidated Predictions Format (CPF) by June 31,
2006. All prediction centers are expected to start providing the CDDIS and
EDC with CPF files on a routine basis by the end of 2005. This conversion
is the culmination of 5 years of work by the ILRS Prediction Format Study
Group. The new format promises to provide better prediction accuracy for
artificial satellites, especially LEOs, as well as providing a common system
that will include lunar retro-reflectors and transponders in lunar orbit
and beyond.
This short document summarizes the main requirements for producing CPF files.
There is a more complete and extensive document that discusses philosophy
and format details. It can be found at the addresses listed in the Resources section.
SLR Predictions (Earth orbiting satellites))
- CPF predictions are tabulated satellites state vectors in the geocentric
earth-fixed coordinate system of date known as ITRF (International Terrestrial
Reference Frame).
- The
state vectors are generated from predicted orbits based on the best possible
force models (gravity field, air drag, solar pressure, ...) and predicted
earth rotation parameters. No tuning is performed.
- CPF
files are generated at least on a daily basis, containing a data span of
five days. The prediction center should re-issue prediction files for low
satellites several times per day, if necessary.
- When interpolated with an
10 point Lagrange interpolator, a CPF file must duplicate the output of
the prediction orbit to ± 0.5 nanoseconds
in range. Separations of tabular records for various altitudes of
satellites are included below.
- Fill all fields in the records you write.
Headers are fixed format. Body records are free format (after the 2 digit
record identification) with at least 1 space between fields. For a specific
target, the fields in the body records should line up, for easy reading
by humans.
- Required records: Headers H1, H2, and H9. Header H3 is optional.
Header H4 is for use with spherical satellites only. Data record 10 with
direction '0' (instantaneous vector between geocenter and satellite at
fire time) and 99 are required. None of the rest pertain.
- The interpolator
must always interpolate in the center interval of a 10 point span. Therefore,
include at least 5 points prior to file generation/distribution time to
prevent stations from trying to interpolate outside the optimal interval.
- Each
ephemeris record contains a leap second value. In prediction files spanning
the date of a leap second, those records after the time of the leap second
will have this flag set to the number of leap seconds (always '1' so far,
but standards allow for -1). In other words, a 3-day file starting the
day before a leap second is introduced will have the leap second flag set
to '0' for the first 24 hour segment and '1' in the last 48 hours.
Even
though the flag is non-zero, the leap second is not applied to the CPF
times or positions. The station software needs to detect the leap second
flag and handle the time argument for the interpolator appropriately.
Prediction
files starting at 0 hours immediately after the leap second has been introduced
will have the leap second flag set to '0'.
Normally, the leap second flag will
be set to '0'.
- CPF files should be named in accordance with the following
format:
satellite_cpf_yymmdd_nnnv.src
where:
satellite:
Official satellite name (See table below.)
hyphens are allowed, but no blank spaces
variable length, maximum 10 characters
nnn:
ephemeris version number. Day of year + 500 to distinguish CPF from
TIV in
time bias and other messages. The “500” can
be dropped when TIVs
are discontinued. This field is three digits
with zero leading fill.
v:
version within the day. One digit, starting with '1'.
src:
prediction provider code. Three characters.
- If predictions are emailed,
the subject line should read:
Subject: satname DAILY CPFS center,
e.g., SUBJECT: ICESAT DAILY CPFS UTX .
The file should be mailed as embedded
text, not as an attachment.
- Maneuvers messages are no longer needed except to alert operators.
- CPF files should normally be ftp-ed to EDC or CDDIS for distribution,
as detailed in their instructions.
- There is a sample software program called cpf_chk that can be used
to test the CPF files' format. Using this program could save a great
deal of time in hand-checking the prediction files. The code is provided
as-is, and any bug fixes or improvements will be gratefully accepted.
- Format Version Numbers: Only the integer portion should be used.
For example, version 2.34 would be entered as '2'. All versions from
n.00 to n.99 would be backward compatible.
Predictions for the Moon and other bodies requiring a solar
system ephemeris
- Follow the same procedures as for “SLR Predictions” with
the following differences.
- The out-bound and in-bound leg vectors (records 10-1 and 10-2)
are corrected for light time. In other words, for record 10-1, the
vector spans from the geocenter at fire time to target position at
bounce time. Similarly, for record 10-2, the vectors spans
from the target at bounce time to the geocenter at return time.
- For the moon and transponders, time of prediction is fire time for
the outbound leg and return time for in-bound leg. The latter is for
reference only. For rotation records (30), the time is bounce time
(i.e., firing time + out-bound leg length). Out- and in-bound leg and
rotation records remain together in fire time order.
- The in-bound leg is required for ranging to the moon and beyond or
any other orbit that has been computed using a solar system ephemeris.
- Position, velocity, and aberration vector elements have opposite
signs on out-bound and in-bound leg records. Relativistic corrections
are always positive and additive. When there is only one corrections
record (type 30) for each outbound/inbound leg pair, the relativistic
correction must be one-way, as it will be added twice.
- Include the following records:
- Lunar reflectors: H1, H2, H9, 10-1, 10-2, 30-1, 99
- Center of moon: H1, H2, H9, 10-1, 10-2, 30-1, 60, 99
- Asynchronous transponders: H1, H2, H4, H9, 10-1, 10-2, 20-1,
20-2, 30-1, 30-2, 40, 99
- Synchronous transponders: H1, H2, H4, H9, 10-1, 10-2, 30-1,
30-2, 99
Resources
- Standard Satellite Prediction Spacing
Satellite class Interval (min)
CHAMP (LEO) 2
GFO-1 3
TOPEX 4
LAGEOS 5
GPS 15
Moon 30
Standard
Laser Target Names
An
up-to-date list will be maintained at:http://ilrs.gsfc.nasa.gov/products_formats_procedures/satellite_names.html
- Full documentation
http://ilrs.gsfc.nasa.gov/products_formats_procedures/predictions/cpf.html
- Sample Software
Enter
http://ilrs.gsfc.nasa.gov/products_formats_procedures/predictions and
select CPF Sample Code. The appropriate file will be downloaded.
- EDC and CDDIS upload instructions
Contact Carey Noll at carey.noll@nasa.gov or
Wolfgang Seemueller at
seemuell@dgfi.badw-muenchen.de .
- For reference, CPF files can be found at:
ftp://cddis.gsfc.nasa.gov/pub/slr/cpf_predicts or
ftp://www.dgfi.badw-muenchen.de/slr/cpf_predicts.
or contact Carey Noll
(carey.noll@nasa.gov)
to be added to the email exploder.
- CPF email exploder:
Contact Wolfgang Seemeuller (seemuell@dgfi.badw.de)
or check the ILRS web page.
Appendix D - Consolidated Prediction
Format User's Guide
At the Laser Workshop in Eastbourne in October, 2005 the ILRS
Governing Board set the goal of converting all stations from
the Tuned Inter-range Vectors (TIVs) to the new Consolidated
Predictions Format (CPF) by June 31, 2006. All prediction centers
are expected to start providing the CDDIS and EDC with CPF
files on a routine basis by the end of 2005. This conversion
is the culmination of 5 years of work by the ILRS Prediction
Format Study Group. The new format promises to provide better
prediction accuracy for artificial satellites, especially LEOs,
as well as providing a common system that will include lunar
retro-reflectors and transponders in lunar orbit and beyond.
This short document tries to summarize the main requirements
for using CPF files. There is a more complete and extensive
document that discusses philosophy and format details. It
can be found at the addresses listed in the Resources section.
General comments
- Sample software is provided at the address given at the
end of this document. There are 'c' and FORTRAN versions
of the CPF file reading and interpolation software (with
test programs and “readme” files), a more advanced
program for SLR-type predictions (CPF_INTER), and a more
advanced program for lunar and transponder predictions (CPFPRED).
In addition there is a CPF file format checker (cpf_chk)
and a file to convert CPF files into untuned TIVs. It is
expected that all this code will be supported. Note that
bug fixes and improvements will be gratefully accepted. Treat
this as an open source project where everyone making changes
to the software contributes the improvement of the final
product.
In addition, there is a suite of software to split
a CPF file into shorter single pass files for a particular
station and produce a schedule file. There is also a directory
containing fragments of c++ code for reading and interpolating
the CPF files. This software is for demonstration purposes
only, and active maintenance is not anticipated.
Test input
and output are supplied with all programs.
- For acceptable
precision, interpolate in Cartesian coordinates (body-fixed
or inertial) and not in point angles and range. There is
sample code to read and interpolate the CPF files, so you
do not need to "re-invent the wheel."
- Interpolated
time must between the 5th and 6th points for 10 point interpolation,
or precision will be degraded.
- Due to rule 3), the interpolator
needs 5 extra records at the beginning and end of a pass
to maintain full prediction accuracy. The sample interpolator
will produce a warning message and give the best results
it can if there are not enough records to center on the time
of interpolation.
- Do not assume that the prediction file starts
at 0 hours UTC.
- It is a good practice to read all fields in
as ASCII strings before converting to integers or floating
point. With added checks, this will prevent software crashes
when mis-formed or blank fields are encountered.
Resources
- 1. Full documentation
http://ilrs.gsfc.nasa.gov/products_formats_procedures/predictions/cpf.html
- Sample Software
The software is organized into the following directories:as
follows;
common_c cpf_c cpf_comb_c cpf_llr_c cpf_slr_c
cpf_chk_c cpf_sched
common_f cpf_f cpf_comb_f cpf_llr_f cpf_slr_f
cpf_eos_cpp include
cpf2irv_c
There are FORTRAN and c versions of most programs. Directory
names ending in
"_c" contain c code, directory names ending in "_cpp" contain
c++ code, and directory names ending in "_f" contain FORTRAN.
common_c, common_f
-
Routines
are included that read a cpf file and interpolate it.
Also,
it contains additional routines needed by several of the
programs
listed below.
cpf_c, cpf_f
-
These
contain programs and standard input and output to test
the
basic CPF read and interpolation software found in
common_c
and common_f.
cpf_slr_c,
cpf_slr_f -
Programs
in these directories produce range and point angles
for
slr predictions. Test input and output files are included.
cpf_llr_c,
cpf_llr_f -
Programs
in these directories produce range and point angles
for
llr and transponders at the moon and beyond. Test input
and
output files are included.
cpf_comb_c,
cpf_comb_f -
Programs
in these directories produce range and point angles
for
slr, llr and transponders. Test input and output files
are
included. This code is combines slr and llr code above
into
one set of routines.
>> NOT
YET AVAILABLE <<
cpf_chk_c -
This
contains a program to test cpf files for conformity with
the
format standard. This is mainly designed for predictions
centers
and their test stations. It can be installed in any
station
with a feeling of paranoia.
cpf_eos_cpp
-
C++
code fragments from EOS. See the Readme.doc file for an
explanation.
cpf_sched -
This
directory contains a program to split a multi-day cpf
file
into pass-by-pass files for a particular station. It
also
contains programs to produce an eye-readable schedule
of
the passes. Two programs are in FORTRAN and one is in c.
cpf2irv_c -
This
software converts a CPF file into a set of untuned IRVs.
include -
Headers
for FORTRAN and c programs can be found here.
Note that not all programs and routines are available in all
languages. Currently, the only c++ routines are provided as
code fragments and not as a full compilable package.
Priority for maintenance will be given to common_c,
common_f, cpf_c, cpf_f, cpf_slr_c, cpf_slr_f, cpf_llr_c,
cpf_llr_f, and include. The rest will be maintained as
resources are available.
To
download the sample code, enter http://ilrs.gsfc.nasa.gov/products_formats_procedures/predictions and
select CPF Sample Code. The appropriate file will be
downloaded.
3. CPF files can be found at:
ftp://cddis.gsfc.nasa.gov/pub/slr/cpf_predicts, or
ftp://www.dgfi.badw-muenchen.de/slr/cpf_predicts,
or contact Carey
Noll (carey.noll@nasa.gov)
to be added to the email exploder.
4.It is recommended that the stations use predictions from
the primary providers for each satellite as listed at http://ilrs.gsfc.nasa.gov/products_formats_procedures/predictions/prediction_centers.html. Use
backup providers when usable predictions are not available
from the primary providers.
Appendix E - Maximum
Predictions Grid Spacings
Maximum Predictions Grid Spacings to achieve
RSS due to INTERPOLATION ONLY of:
1 ns, and 10 ps, in RANGE
1 second of arc, in AZIMUTH and
ELEVATION
J.McK. Luck
Research Fellow
Electro Optic Systems Pty.Ltd.
Table 1: Prediction Intervals giving nominated
Interpolation Errors
Satellite |
Maximum
Grid Spacings (seconds)
when using 8th-order Lagrange Interpolation |
CPF
Recommendation |
RANGE |
AZIMUTH |
ELEVATION |
Deg
7 |
Deg
9 |
1
ns |
10
ps |
1
arcsec |
1
arcsec |
CHAMP |
234 |
127 |
441 |
456 |
120 |
180 |
STARLETTE |
240 |
127 |
466 |
519 |
180 |
240 |
AJISAI |
310 |
170 |
617 |
628 |
240 |
300 |
LAGEOS |
501 |
280 |
1097 |
1118 |
300 |
600 |
GPS35 |
1360 |
763 |
2970 |
3160 |
900 |
1800 |
EXPLANATION
Files of predictions for each satellite chosen were
kindly provided by Chris Moore. They were generated in the “Inertial” reference
frame (True-of-date) at 1-second intervals, as geocentric
Cartesian X,Y,Z coordinates They are labeled “I”
The “I” coordinates were then transformed to
body-fixed Greenwich coordinates, labeled “G”,
by rotating through Greenwich Mean Sidereal Time. These coordinates
are those proposed for the ILRS Consolidated Prediction Format
(CPF). In this study, UT1-UTC and polar motion were ignored.
The “G” coordinates were then transformed to
the relative topocentric Cartesian coordinates (East, North,
Up) at the Mount Stromlo SLR station, labeled “T”,
by rotating through longitude and latitude.
Finally, the “T” coordinates were transformed
to Range, Azimuth and Elevation, labeled “P” (for
Polar), by the usual formulae.
These four data sets were considered to be “truth”.
They each covered about a day of predictions.
Interpolation errors were examined for a variety of circumstances:
- Grid spacings of 15, 30, 60, 120, 240, 480 or 960 seconds, with
tabular points (“nodes”) selected from the “true” data;
- Interpolation orders 4, 6, 8, 10, 12 (degrees one less
than these);
- Interpolating into the I, G, T or P reference frames,
at every second. When interpolating using tabular points
in the first three systems, the interpolation results were
transformed to range, azimuth and elevation .
Each circumstance was characterized by its “RSS”,
i.e. the square root of the average square of the deviates “interpolated
- truth”, over all the 1-second points. The various
RSSs were plotted on log-log graphs against grid spacing;
and the grid spacings for the nominated values of RSS, shown
in Table 1, were then obtained by inverse logarithmic interpolation.
The relevant graphs for LAGEOS are shown in Figures 1 and
2.
OUTCOMES

Figure 1: Log-log graphs of Range, Azimuth
and Elevation Interpolation Errors using an 8th-order interpolator
in Inertial XYZ (I), Greenwich XYZ (G), Topocentric ENU (T)
and local Az/El/R (P) systems.
From Figure 1 it is seen that the results are virtually
identical when interpolating with an 8th-order interpolator
on any of the Cartesian systems (I,G,T), but much worse when
interpolating directly in range, azimuth and elevation (P).
This general result holds for all satellites tested and for
all interpolator orders used, although their graphs are not
shown here.
Both sets of figures also show that, after a “floor” due
to subtraction of nearly equal large numbers, the log-log relationships
are linear, consistent with the theoretical behaviour of interpolation
errors. This, too, is a general result.
Figure 2: Log-log graphs of Range, Azimuth
and Elevation Interpolation Errors using interpolators of
order 4, 6, 8, 10 and 12 in the Greenwich XYZ (G) system.
.
CONCLUSIONS
From the point of view of interpolation error, the grid
spacings proposed for the ILRS Consolidated Prediction Format
are adequate for producing better than 1 ns accuracy in range,
and 1 arcsec accuracy in azimuth and elevation, provided
that an 8th-order interpolator (or higher) is used on Cartesian
coordinates. They are not adequate for producing ranges with
10 ps accuracy (if anybody would ever want such accuracy
in predictions).
They are grossly inadequate for interpolating directly into
tables of range, azimuth and elevation!
CAUTIONS
Transforming from an inertial (or quasi-inertial) reference
frame to the Greenwich (body-fixed) frame involves application
of sidereal time, which in turn requires the Julian Date
(JD). Now, a typical satellite range rate is 5 km/sec, or
1 ns (2-way) per 30 μs. If the formula for GMST given,
for example, on page B6 of “The Astronomical Almanac
2005” is followed blindly at an arbitrary time,
then about 17 decimal places are required for the JD to reach
the 30 μs resolution needed. My Windows-based 32-bit computer
only gives about 14 decimal places in Fortran double precision,
so the rounding error is highly significant - it caused a
30 ns saw-tooth during my experiments. A simple remedy is
to calculate GMST for exactly 0h UTC on the required day,
reduce it modulo 86400s, then add [UTC + (UT1-UTC)] multiplied
by the sidereal conversion factor 1.00273781191135448 (“IERS
Conventions (2003)”, p.38). Or simply increase
the precision of calculations…..
[Confession: I have always known about this,
but forgot. The reminder came when the interpolation errors
on “G” were
much larger than on “I”, which was hard to understand
since the transformation between them is essentially extremely
smooth. There’s no fool like an old fool.]
It was also humbling to have to take several goes at getting
the azimuths strictly continuous before their interpolations,
because the ATAN2 function only returns values in the range .
Failures showed up as ridiculously large interpolation RSSs,
e.g. 105 seconds of arc. [The old fool does still remember
to do simple, yet comprehensive, sanity checks on all his software…..]
Responsible Government Official:
NASA's
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