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首页> 外文期刊>IEEE Transactions on Signal Processing >CFAR Detection of Range-Spread Targets Based on the Time-Frequency Decomposition Feature of Two Adjacent Returned Signals
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CFAR Detection of Range-Spread Targets Based on the Time-Frequency Decomposition Feature of Two Adjacent Returned Signals

机译：基于两个相邻返回信号的时频分解特征的距离扩展目标CFAR检测

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摘要

Radar returned signals are processed by stretch processing, resulting in mixer outputs. Based on the time-frequency decomposition of the cross S-method (CSM) of two adjacent mixer outputs, a range-spread target detector is proposed in this paper. As a preparatory work, we propose a signal synthesis method (SSM) based on the singular value decomposition. The SSM synthesizes two signals in their normalized forms from their cross Wigner distribution (CWD) and concentrates their energy on two singular values. This detector consists of three steps. First, we derive the CSM from the S-method (SM). The CSM is close to the sum of the CWDs of the components in one mixer output and their counterparts in the other. Second, we can decompose the CSM by the SSM, thereby obtaining singular values. Third, the time-frequency decomposition feature, i.e., the ratio of the sum of several biggest singular values to the median or mean of the rest, is defined to demonstrate the concentration of the singular values and used to detect the range-spread target. The proposed detector is evaluated by the raw radar data without range migration correction. Results show that it outperforms the conventional detectors. In addition, we prove that the proposed detector has the constant false-alarm rate (CFAR) property.
机译：雷达返回的信号通过拉伸处理进行处理，从而产生混频器输出。基于两个相邻混频器输出的交叉S方法（CSM）的时频分解，提出一种测距目标检测器。作为准备工作，我们提出一种基于奇异值分解的信号合成方法（SSM）。 SSM从其交叉Wigner分布（CWD）以归一化形式合成两个信号，并将其能量集中在两个奇异值上。该检测器包括三个步骤。首先，我们从S方法（SM）派生CSM。 CSM接近一个混频器输出中的组件的CWD与另一混频器输出中的组件的CWD的总和。其次，我们可以通过SSM分解CSM，从而获得奇异值。第三，定义了时频分解特征，即几个最大奇异值之和与其余中位数或均值之比，以展示奇异值的集中度，并用于检测距离扩展目标。拟议的探测器通过原始雷达数据进行评估，而无需进行距离偏移校正。结果表明，它优于常规检测器。此外，我们证明了所提出的探测器具有恒定的误报率（CFAR）属性。

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