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31 December 2019 Research of real-time high-precision positioning technology for space-based Internet of Things loads based on RLS
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Abstract
This paper proposes the use of RLS real-time high-precision positioning algorithm in high-precision real-time positioning of space-based internet of things loads, which overcomes the traditional least-squares high order of inverse matrix, large amount of calculation and easy to appear ill-conditioned matrix that can’t seek the inverse, can continuously obtaining estimates in real time, suitable for satellite on-orbit applications. The article analyzes the positioning accuracy grade distribution of RLS real-time high-precision positioning algorithm in detail. The analysis results show that the positioning accuracy is mainly affected by the error of frequency measurement, position error and velocity error, and the error of frequency measurement has a great influence. When the satellite position error is 5m,the velocity error is 0.01m/s, and the Doppler error is 0.1Hz, the probability of positioning error less than 1000m is 95.5%, which satisfies the normal distribution standard deviation 2σ distribution (95.5%).
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Jianyun Chen, Sili Liu, and Xuzhe Feng "Research of real-time high-precision positioning technology for space-based Internet of Things loads based on RLS", Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 113840X (31 December 2019); https://doi.org/10.1117/12.2559691
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