

FOLLOWUS
Micro-Satellite Research Center, Zhejiang University, Hangzhou 310027, China
[ "Qiao WANG, E-mail: wqiao2010@zju.edu.cn" ]
Xiao-jun JIN, E-mail: axemaster@zju.edu.cn
Received:19 May 2018,
Revised:2019-;6-11,
Published:2019-06
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Qiao WANG, Xiao-jun JIN, Wei ZHANG, et al. An online error calibration method for spaceflight TT & C systems based on LEO-ground DDGPS[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(6): 829-841.
Qiao WANG, Xiao-jun JIN, Wei ZHANG, et al. An online error calibration method for spaceflight TT & C systems based on LEO-ground DDGPS[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(6): 829-841. DOI: 10.1631/FITEE.1800308.
为克服传统误差标校方法的缺点,提出一种基于星地差分GPS的航天测控系统在线误差标校方法。该方法采用固定区间平滑算法,平滑前向、后向抗差自适应卡尔曼滤波结果,同时基于蚁群最优化算法固定星地差分GPS载波相位模糊度,以获取高精度星地基线测量结果。将该结果作为航天测控系统比较标准,并用最小二乘批处理算法求解测距误差模型。利用Spirent导航信号模拟器和自主研制的星载GPS双频接收机,构建半实物仿真平台对该误差标校方法进行仿真验证。结果表明,固定区间平滑算法平滑后,星地基线解算精度(RMS,单轴)优于10 cm。测距系统误差标定后,残差优于5 cm。
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 double- differential 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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