Paper
10 February 2023 Analysis of the influence of INS accuracy on chi-square deception detection algorithm
Xingtong Li, Yichen Wang, Hao Chen, Chao Wen
Author Affiliations +
Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125523G (2023) https://doi.org/10.1117/12.2667264
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
The chi-square deception detection algorithm is widely applied in tight GNSS/INS integrated navigation system of deception detection, and there are many factors that can influence the effect of chi-square deception detection algorithm. Among them, INS accuracy directly affects INS positioning error and indirectly affects the state transition matrix and observation matrix of Kalman filter, so as to have an impact on deception detection algorithm. Therefore, the analysis of the impact of INS accuracy on deception detection algorithm helps user adjust appropriate parameters of deception detection algorithm based on INS precision. The simulation results show that the INS accuracy has a significant impact on the deception detection algorithm when the state propagation interval is long. Contrarily, the effect is not obvious in the short interval of state propagation. Thus, the effect of INS accuracy can be reduced by adjusting the extrapolation period of deception detection.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingtong Li, Yichen Wang, Hao Chen, and Chao Wen "Analysis of the influence of INS accuracy on chi-square deception detection algorithm", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125523G (10 February 2023); https://doi.org/10.1117/12.2667264
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KEYWORDS
Detection and tracking algorithms

Satellite navigation systems

Signal filtering

Error analysis

Computer simulations

Covariance

Navigation systems

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