Target tracking based on combined motion model and variable gain filtering algorithm

Fanying Li; Jie Cai; Chenfang Xu

doi:10.1117/12.3011589

7 December 2023 Target tracking based on combined motion model and variable gain filtering algorithm

Fanying Li, Jie Cai, Chenfang Xu

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294103 (2023) https://doi.org/10.1117/12.3011589
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

For the problem is existing that a single model could not get high precision tracking of maneuvering targets in complex air routes, a ballistic trajectory matching method using combined models based on current statistical models and S maneuver models is put forward. Moreover, the idea of using α−β−γ variable gain filter waves to reduce algorithm complexity is given to avoid the deficiencies of conventional Kalman filtering algorithm and particle filtering algorithm and solve the problem of lack of engineering. Finally, this algorithm is verified by simulation tests for its effectiveness.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fanying Li, Jie Cai, and Chenfang Xu "Target tracking based on combined motion model and variable gain filtering algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294103 (7 December 2023); https://doi.org/10.1117/12.3011589

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