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基于机载双基地雷达多干扰抑制算法研究 被引量:1

Multiple Interference Suppression Algorithm Based on Bistatic Airborne Radar Cooperation
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摘要 为了解决雷达主瓣干扰尤其是多个主副瓣干扰同时抑制的难题,文中提出一种基于机载双基地协同的主副瓣干扰同时抑制算法。首先利用稀疏恢复技术估计出的干扰角度二维信息构建阻塞矩阵来遮蔽主瓣干扰,然后采用空时自适应处理算法来抑制副瓣干扰,最后针对多个主瓣干扰混叠无法全时域对消问题,将多个主瓣干扰逐个回退释放出来分别抑制,从而实现了全部主瓣干扰的抑制。仿真结果表明,该方法在抑制两个副瓣干扰的同时实现对两个主瓣干扰抑制,目标信噪比损失3 dB左右。该方法实现多个主副瓣干扰同时有效抑制,提升目标尤其是与主瓣干扰同方向目标的检测能力。 A new anti-interference method based on a bistatic radar system is proposed, and mainlobe interference and sidelobe interference are simultaneously suppressed through cooperation of the two radars. In this method, the interference direction information of a single radar is extracted from the radar scene using the sparse recovery technique. According to the azimuthal information of interference, the two dimensional blocking matrix method is used to block mainlobe interference, and adaptive processing technology is adopted to suppress sidelobe interference. Finally, aiming at the problem that multiple mainlobe interferences can not be cancelled in full time domain, multiple mainlobe interferences are released one by one and cancelled separately, so as to achieve the suppression of all mainlobe interferences and improve the ability of full time domain target detection. Simulation results show that the proposed method can suppress two sidelobe interferences and two mainlobe interferences at the same time, and the signal-to-noise ratio loss of the target is about 3 dB. The method can effectively suppress multiple mainlobe and sidelobe interference simultaneously, and improve the ability of target detection, especially the target in the same direction with the mainlobe interference.
作者 夏德平 张良 吴涛 孟祥东 XIA Deping;ZHANG Liang;WU Tao;MENG Xiangdong(National Laboratory of Radar Signal Processing,Xidian University,Xi′an 710071,China;Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)
出处 《现代雷达》 CSCD 北大核心 2022年第1期56-64,共9页 Modern Radar
关键词 机载双基地雷达 主副瓣干扰抑制 级联阻塞矩阵 稀疏估计 回退法 bistatic radar system mainlobe interference and sidelobe interference suppression cascade blocking matrix sparse estimation regression method
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