一种利用距离脉冲二维局部特性的距离扩展目标的检测方法

A range spread target detection method based on the local property in the range-pulse dimensions

针对传统的二进制积累检测器阈值设置的不足,提出基于距离维和脉冲维二维局部模糊阈值函数来获取精炼脉冲距离二维图像从而进行积累检测的新算法。该算法将单脉冲距离维的距离扩展目标检测问题推广为多脉冲距离脉冲二维图像的目标检测问题,并积累精炼图像的能量作为检测统计量从而实现目标检测。新方法不需要关于目标的强散射点密度信息,并且易于实现恒虚警检测。实验结果表明本文方法超越了传统的能量积累检测方法、基于散射点分布密度的广义似然比检测方法以及顺序统计检测方法。

Aimed at the shortage for the threshold set of the conventional binary integration detection method, the novel detection method refines the obtained range-pulse image and integrates the energy of the refined range-pulse image for detection based on the proposed range-dimensional and pulse-dimensional local fuzzy threshold function. In this paper, the conventiohal single pulse detection method along range dimensional is generalized to detect range-spread target in the range-pulse image. Then, the energy of the refined image is used as the detection statistic for the range-spread target detection The novel detection method doesn＇t need the priori knowledge for the spatial scattering density parameter, and has the constant false alarm rate （CFAR） character. The experiment results based on the measdred radar target data show that the proposed detection method has the better detection performance than the energy integration detector, the commonly-used spatial scattering density generalized likelihood ratio test （SSD-GLRT） detector and the order statistic detector.