Pseudolinear Kalman filter algorithms for single array bearings-only target motion analysis

Yu Su

doi:10.1117/12.2679384

18 July 2023 Pseudolinear Kalman filter algorithms for single array bearings-only target motion analysis

Yu Su

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272232 (2023) https://doi.org/10.1117/12.2679384
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

In the research of target motion analysis, the target motion is usually approximated as a uniform linear target in most cases. However, in the actual environment, the target motion is usually a non-uniform linear motion and the target motion trajectory is mostly a curve, so it is particularly important to estimate the target state under this motion situation. In this paper, the motion analysis of low-speed and slow-turning targets is studied. Interested in low-speed and slow-maneuvering moving targets less than 6 knots, the deviation compensation algorithm of pseudo-linear Kalman filter in two-dimensional space and three-dimensional space is derived. Finally, the performance of the algorithm is verified by simulation, and the influence of measurement error and initial distance on the performance of the algorithm is studied.

Citation Download Citation

Yu Su "Pseudolinear Kalman filter algorithms for single array bearings-only target motion analysis", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272232 (18 July 2023); https://doi.org/10.1117/12.2679384

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