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Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing

机译：基于短时压缩感知的微多普勒模糊度解算

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摘要

When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem. In this paper, we propose a novel method based on compressed sensing (CS) to solve micro-Doppler ambiguity. According to the RIP requirement, a sparse probing pulse train with its transmitting time random is designed. After matched filtering, the slow-time echo signals of the micromotion target can be viewed as randomly sparse sampling of Doppler spectrum. Select several successive pulses to form a short-time window and the CS sensing matrix can be built according to the time stamps of these pulses. Then performing Orthogonal Matching Pursuit (OMP), the unambiguous micro-Doppler spectrum can be obtained. The proposed algorithm is verified using the echo signals generated according to the theoretical model and the signals with micro-Doppler signature produced using the commercial electromagnetic simulation software FEKO.
机译：当使用远程雷达（LRR）跟踪微动目标时，雷达回波中体现的微多普勒仪可能会出现歧义问题。在本文中，我们提出了一种基于压缩感知（CS）的新方法来解决微多普勒模糊问题。根据RIP的要求，设计了传输时间随机的稀疏探测脉冲序列。经过匹配滤波后，微运动目标的慢速回波信号可以视为多普勒频谱的随机稀疏采样。选择几个连续的脉冲以形成一个短时间窗口，可以根据这些脉冲的时间戳建立CS感测矩阵。然后执行正交匹配追踪（OMP），可以获得明确的微多普勒频谱。使用根据理论模型生成的回波信号以及使用商用电磁仿真软件FEKO生成的具有微多普勒签名的信号，对提出的算法进行了验证。

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  • 来源
    《Journal of electrical and computer engineering》 |2015年第2015期|864508.1-864508.7|共7页
  • 作者

    Jing-bo Zhuang; Zhen-miao Deng; Yi-shan Ye; Yi-xiong Zhang; Yan-yong Chen;

  • 作者单位

    School of Information Science and Engineering, Xiamen University, Xiamen 361005, China;

    School of Information Science and Engineering, Xiamen University, Xiamen 361005, China;

    School of Information Science and Engineering, Xiamen University, Xiamen 361005, China;

    School of Information Science and Engineering, Xiamen University, Xiamen 361005, China;

    School of Information Science and Engineering, Xiamen University, Xiamen 361005, China;

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