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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Project supported by the National Natural Science Foundation of China (Nos. 60904090 and 61401389), the National Science Foundation for Distinguished Young Scholars of China (No. 61525403), the Joint Fund of the Ministry of Education of China (No. 6141A02033310), and the Fundamental Research Funds for the Central Universities, China (No. 2018QNA4053)
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Wang, Q., Jin, Xj., Zhang, W. et al. An online error calibration method for spaceflight TT&C systems based on LEO-ground DDGPS. Frontiers Inf Technol Electronic Eng 20, 829–841 (2019). https://doi.org/10.1631/FITEE.1800308
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DOI: https://doi.org/10.1631/FITEE.1800308