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An online error calibration method for spaceflight TT&C systems based on LEO-ground DDGPS |
Qiao WANG( ), Xiao-jun JIN( ), Wei ZHANG, Shi-ming MO, Zhao-bin XU, Zhong-he JIN |
Micro-Satellite Research Center, Zhejiang University, Hangzhou 310027, China |
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Abstract To overcome the shortcomings of the traditional measurement error calibration methods for spaceflight telemetry, tracking and command (TT&C) systems, an online error calibration method based on low Earth orbit satellite-to-ground doubledifferential GPS (LEO-ground DDGPS) is proposed in this study. A fixed-interval smoother combined with a pair of forward and backward adaptive robust Kalman filters (ARKFs) is adopted to solve the LEO-ground baseline, and the ant colony optimization (ACO) algorithm is used to deal with the ambiguity resolution problem. The precise baseline solution of DDGPS is then used as a comparative reference to calibrate the systematic errors in the TT&C measurements, in which the parameters of the range error model are solved by a batch least squares algorithm. To validate the performance of the new online error calibration method, a hardware-in-the-loop simulation platform is constructed with independently developed spaceborne dual-frequency GPS receivers and a Spirent GPS signal generator. The simulation results show that with the fixed-interval smoother, a baseline estimation accuracy (RMS, single axis) of better than 10 cm is achieved. Using this DDGPS solution as the reference, the systematic error of the TT&C ranging system is effectively calibrated, and the residual systematic error is less than 5 cm.
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Keywords
Spaceflight
low Earth orbit (LEO)
Filter
Optimization
Calibration
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Corresponding Author(s):
Qiao WANG,Xiao-jun JIN
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Issue Date: 01 August 2019
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[1] |
FITEE-0829-19007-QW_suppl_1
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[2] |
FITEE-0829-19007-QW_suppl_2
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