Cognitive STAP technology based on two-dimensional filter optimization

Changli Shi; Zongwu Dai; Zhe Wang; Pengjie Li

doi:10.1117/12.2552222

31 January 2020 Cognitive STAP technology based on two-dimensional filter optimization

Changli Shi, Zongwu Dai, Zhe Wang, Pengjie Li

Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 1142727 (2020) https://doi.org/10.1117/12.2552222
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China

Abstract

Cognitive space-time adaptive (STAP) radar system optimizes the receiving filter according to the time-varying clutter environment. Aiming at the optimization design of receiving filter, an optimization model of STAP radar filter is established, and a method of filter optimization based on Lagrange dual algorithm is proposed. Compared with the traditional adaptive STAP filter, the simulation results show that the performance of cognitive reception STAP filter is analyzed and verified. Compared with the traditional adaptive STAP filter, cognitive STAP filter can significantly suppress clutter and effectively improve the signal-to-noise ratio.

Citation Download Citation

Changli Shi, Zongwu Dai, Zhe Wang, and Pengjie Li "Cognitive STAP technology based on two-dimensional filter optimization", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142727 (31 January 2020); https://doi.org/10.1117/12.2552222

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