Research on anti-noise jamming of adaptive array based on LMS algorithm

Yao Li; Huan Dai

doi:10.1117/12.2674948

2 May 2023 Research on anti-noise jamming of adaptive array based on LMS algorithm

Yao Li, Huan Dai

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 126421I (2023) https://doi.org/10.1117/12.2674948
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

Adaptive array signal processing is widely used in modern radar anti-jamming design. In this paper, simulation research is carried out on the deficiencies of the current research on anti-noise jamming of radar adaptive array. First, starting from the mathematical model of radar adaptive array based on LMS algorithm, the optimal weight vector of adaptive array based on LMS algorithm is derived and established. On this basis, numerical simulation is carried out to analyze and study the performance of anti noise jamming. The research of this paper has certain reference significance for the design of future radar anti-jamming.

Citation Download Citation

Yao Li and Huan Dai "Research on anti-noise jamming of adaptive array based on LMS algorithm", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 126421I (2 May 2023); https://doi.org/10.1117/12.2674948

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