A dynamic interference suppression method with the optimal payoff of proximity radar based on a game model. (1st October 2022)

• Record Type: Journal Article
• Authors: Dai, Jian; Hao, Xinhong; Li, Ze; Wang, Zhe; Yan, Xiaopeng
• Is Part Of: Measurement science & technology. Volume 33:Number 10(2022)
• Publication Date: 2022-10-01
• Subjects: interference suppression -- target detection -- proximity pulse Doppler radar -- optimal payoff -- game model; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/1361-6501/ac7b11
• Languages: English
• ISSNs: 0957-0233

Abstract

Abstract: The proximity pulse Doppler radar (PPDR) possesses high-range resolution and has been widely used in short-range detection. Unfortunately, the detection performance is seriously deteriorated by interference. Therefore, a dynamic interference suppression method (DISM) based on a game model is proposed. In the DISM, three interference suppression strategies are proposed for different interference strategies. The first strategy is the deceptive interference suppression strategy via the identity recognition of the PPDR. The second is a barrage interference suppression strategy, which is realized via the recognition of the time-frequency joint features of the target and interference. The last strategy is to combine the previous two strategies. For optimal interference suppression performance, the DISM will dynamically choose an interference suppression strategy according to their payoffs, which effectively enables the PPDR to maintain the dominant position in the game with the interference source. The efficiency of the DISM at different interference and signal-to-interference-plus-noise ratios is proved by comparison with other methods.