Study on target tracking algorithm in active and passive radar seeker data fusion

Xing Zhang; ZiHong Chen; Wei Liu

doi:10.1117/12.2682576

1 June 2023 Study on target tracking algorithm in active and passive radar seeker data fusion

Xing Zhang, ZiHong Chen, Wei Liu

Proceedings Volume 12710, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023); 1271007 (2023) https://doi.org/10.1117/12.2682576
Event: International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 2023, Changsha, China

Abstract

During active and passive radar seeker tracking target, in order to effectively fuse information detected by two seekers for precise tracking，in this paper, BP neural network was used to classify the information into two different kinds, then fuzzy system was applied to adjust BP neural network’ learning speed based on target’s maneuver extent, at the same time, adjust the fusion center’s parameter based on target’s distance. Computer simulation shows that compared with traditional method, this method can conduct target tracking perfectly, it is proved to be ascendant．

Citation Download Citation

Xing Zhang, ZiHong Chen, and Wei Liu "Study on target tracking algorithm in active and passive radar seeker data fusion", Proc. SPIE 12710, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 1271007 (1 June 2023); https://doi.org/10.1117/12.2682576

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