Enumeration of highly-correlated radar targets with eigenbeam-space post-Doppler CFAR

R. Takahashi, T. Inaba, Toru Takahashi, Hirohisa Tasaki
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引用次数: 0

Abstract

Enumeration method for highly-correlated or coherent radar targets containing in Doppler bin of interest is proposed. The proposed method uses adaptive threshold to detect targets in beamspace and post-Doppler domain to improve probability of correct target enumeration in lower SNR (Signal to Noise power Ratio) with respect to MDL (Minimum Description Length). Threshold in the proposed method is controlled to maintain the user-specified probability of false enumeration. Moreover the proposed method has ability to enumerate target number equal to number of spatial channel. By computer simulation, the proposed method achieved 0.623 of probability of correct enumeration for two highly-correlated mainbeam targets of respective SNR = 20 dB impinging on four subarray linear antenna while MDL achieved 0.09 of the probability. Furthremore the proposed method achieved 0.609 of probability of correct enumeration in the same scenario but two subarray linear antenna whereas MDL is unable to enumerate target number due to exceeding the number of degrees-of-freedom (DOF) of the array antenna.
基于特征波束空间后多普勒CFAR的高相关雷达目标枚举
提出了高相关或高相干雷达目标的多普勒感兴趣本区枚举方法。该方法采用自适应阈值在波束空间和后多普勒域检测目标,提高了在相对于最小描述长度较低信噪比条件下正确枚举目标的概率。该方法对阈值进行控制,以保持用户指定的假枚举概率。此外,该方法还具有枚举与空间信道数相等的目标数的能力。通过计算机仿真,该方法对四个子阵线性天线上两个信噪比分别为20 dB的高度相关主波束目标的正确枚举概率为0.623,而MDL的正确枚举概率为0.09。此外,该方法在相同场景下的两个子阵线性天线的正确枚举概率达到0.609,而MDL由于超过了阵列天线的自由度数而无法枚举目标数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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