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基于压缩观测的解距离模糊算法 被引量:1

Algorithm for Ambiguity of Range Based on Compressed Observation
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摘要 基于电视信号的外辐射源雷达向外辐射电磁波对目标进行检测时,由于电视信号中行同步信号的高相关性,经检测后会造成目标的距离模糊。同时又因电视信号本身周期性较强,脉压效果并不理想。因此为了能够较好地抑制距离旁瓣,本文提出一种将失配滤波器与压缩感知理论相结合的快速优化算法。经过仿真得出这种优化算法能很好地解决距离模糊问题。 When passive radar based on TV signals radiates electromagnetic wave outward to detect target, the high correlation of the horizontal synchronizing signals of TV signals causes target range ambiguity after testing. Meanwhile, the strong cyclical of TV signals itself confronts a problem that the influence of pulse pressure is not ideal. Therefore, to suppress range side-lobe better, a fast opti- mization algorithm is proposed, combining a mismatch filter with compressed sensing. The simulation result show that this optimization algorithm can solve the problem of range ambiguity.
出处 《数据采集与处理》 CSCD 北大核心 2013年第4期514-519,共6页 Journal of Data Acquisition and Processing
基金 江苏高校优势学科建设工程资助项目 南京航空航天大学基本科研业务费(NS2013025)资助项目
关键词 外辐射源雷达 电视信号 距离模糊 失配滤波器 压缩感知 passive radar TV signals range ambiguity mismatch filter compressed sensing
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