Clutter Edge and Target Detection Method Based on Central Moment Feature

Jiang Han, Guoqiang Zhao
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Abstract

The detection of clutter edge target is always a difficult problem for radar target detection. Constant false alarm detection (CFAR) algorithm often misses detection when there is a target on the clutter edge. The central moment feature can reflect the dispersion degree and skew of echo signal and can be used as the basis of clutter and target detection. In this paper, a method of clutter edge and target recognition based on central moment feature is proposed. The presence of a target on the clutter edge can be tested according to the central moment feature in the signal. The simulation results show that the center moment detection method is more accurate in the clutter edge environment, and the method can accurately identify the clutter edge and the actual target.
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基于中心矩特征的杂波边缘和目标检测方法
杂波边缘目标的检测一直是雷达目标检测的难题。恒虚警检测(CFAR)算法在杂波边缘存在目标时,往往会漏检。中心矩特征可以反映回波信号的色散程度和偏度,可以作为杂波和目标检测的依据。提出了一种基于中心矩特征的杂波边缘和目标识别方法。根据信号的中心矩特征,可以检测杂波边缘是否存在目标。仿真结果表明,中心矩检测方法在杂波边缘环境下精度更高,能够准确识别杂波边缘和实际目标。
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