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Real-Time Orbit And Clock Estimation Using PANDA
Software
Shi C, Lou YD, Zhao QL, Liu JNGNSS Research Center, Wuhan University, China
IGS Analysis Center Workshop 2008 2-6, June 2008, Miami, Florida, USA
Contents
• Introduction of PANDA software
• Strategy for Real-time POD• Strategy for Real-time Clock• Preliminary Results• Summary
Introduction of PANDA
PANDA : Positioning And Navigation Data Analyst
• To derive possible information from GNSS/SLR/ VLBI data in real-time and post-mission
• Developed at Wuhan University since 2001• Current Applications
– POD of GNSS&GEO (COMPASS, GPS)– POD of LEOs, CHAMP GRACE (Delft University), COSMIC
(JiaoTong Uni. Taiwan)– Huge Network (NEIS)
– PPP+Ambiguity-Fixing(GFZ, Nottingham Uni) – …..
PANDA System Structure
New Development: Real-Time
• PPP Based Positioning Service System– Real-time GPS orbits– Real-time GPS Satellite Clock Offsets– Precise Point Positioning
• Funded by – the Program 973 (No:2006CB701301)the Program 973 (No:2006CB701301)– Real-time Precise Positioning Service Prototype Real-time Precise Positioning Service Prototype
System (863)System (863)– Real-time POD for LEOs (863) Real-time POD for LEOs (863)
The Strategy For RT-POD
Two Steps: Generate NEQs of short ARCsCombine NEQs to estiamte orbits
NTRIP Data Cleaning
Last hourly NEQ
SRIF
Comb. NEQs for the last 1-N hours
Updated orbit and predicted orbit
Epoch-wise orbit update
Least Square Combinatio
Key Issues: Ambiguity-FixingWeight of predicted orbitsConstrained Parameter:
Orbit boundariesAmbiguitiesZTD, ERP
Parallel Combination
1h 2h 3h 12h Combined
Last hourly NEQ
Hourly NEQ
Combined NEQ
12h112h2h 12h 12h
1h 2h 3h 11h Combined 12h Combined 13h Combined
Last hourly NEQ
Hourly NEQ
Combined NEQ < 12h
Combined NEQ for orbits
Combine hourly NEQs Time-Consuming1. Save the combined NEQs of the last n-1,n-2, …,1 hours
2. Combined the last hourly NEQ with the saved combined NEQs
3. Only one combination (red) must be done in real-time
• Time-Saving• Fast restart with saved
(combined) NEQ
Orbital Boundary Constraints
1, 1, 1,1, 1( )k k k k k k
w k k k k w wv t t x x l P
kt 1kt 2kt
1 1 1
1 1 1
1 1 1
( ) ( )
( ) ( )
( ) ( )
k k k k
k k k k
k k k k
r t r t
r t r t
q t q t
1 1 0 1,( ) ( ) ( )k k k k k k kX t X t t t x
1 1 1 1 0 1( ) ( )k k k k kX t X t I x 1 1 1
! 1 11( , )
0 0
k k k
k k
k k kk k
k k
r r r
r r q
r r rt t
r r q
I
Juncture
Connected 1,k kwP
Not connected1, 0k kwP
Osculating orbital elements
1, 1, 1,1, 1( )k k k k k k
w k k k k w wv t t x x l P
, ,
1, 1 1 1, 1
k k k k k
k k k k k
N x W
N x W
NEQs:
Juncture constraint:
1 1 1( ) minT T Tk k k k k k w w wJ x v p v v p v v p v
1, 1, 1, 1,, 1, 1, 1, , 1
1, 1, 1, 1,11, 1, 1 1, 1
T k k T k k T k k k kkk k k k w k k k k w k k k w w
k k k k k k k kkw k k k k w k k w w
xN P P W P l
xP N P W P l
Solution with the Constraints
Stratgy For RT Clocks
Two approaches are developed:• Estimate SatClock Epoch-by-
Epoch(1hz)• Estimate SatClock Difference
between Epoch
Preliminary Results
The distribution of the 70 IGS stations for Real time satellite orbit determination (70stations)
Rinex data are inputted as stream through simulated real-time model
Test Network
Result of RT-POD vs IGS Finals
Max ( cm) Min ( cm) Mean ( cm)Radial 6.0 2.7 4.1
Cross 6.5 3.1 4.0
Along 10.6 4.6 7.3
Mean 7.5 3.6 5.4
Result of RT-POD
Difference between calculated real-time orbits (Hourly predicted orbits) and IGS final products
Result of RT-CLK vs IGS Finals
Statistics of the RMS values
max(ns) min(ns) mean(ns)
198 0.30 0.04 0.13
199 0.36 0.10 0.22
200 0.38 0.07 0.16
201 0.31 0.07 0.18
202 0.30 0.12 0.19
203 0.41 0.07 0.21
mean 0.18CPUT per epoch on IBM T60 notebook
RMS values of the difference between the calculated SatClock and IGS final products over the period day 198-203 of year 2006
Performance of the RT Production
Quality of the Real-time SatClock and SatOrbit for the day of year 2006
PPP Based on the RT Production
Epoch by Epoch
WUHN Station
RMS:
N: 2.87cm
E: 3.23cm
U: 7.96cm
• Real-time POD, 5cm• Real-time Clock, 0.18ns• PPP with the Products, 5, 10
cm
Summary
Thanks For Your Attention !