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A new rank test nonparametric procedure for radar detection in multiple target situations

机译:一种用于多目标情况下雷达检测的新秩检验非参数程序

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摘要

This paper deals with the detection performance evaluation of a new nonparametric procedure. The test statistics of the proposed processor have a simple statistical form which is derived from that of the suboptimum rank test procedure [1]. The performance of the new distribution-free detection technique is obtained through Monte-Carlo simulations and compared with that of the suboptimum scheme when detecting nonfluctuating target embedded in Gaussian noise and in the presence of interfering target returns among the reference samples. The new non parametric detector is shown to give a relative improvement over the suboptimum processor. especially, when the background environment contains a numerous-number of extraneous targets.
机译:本文研究了一种新的非参数过程的检测性能评估。拟议处理器的测试统计量具有简单的统计形式,该统计形式是从次优等级测试过程[1]得出的。通过蒙特卡洛模拟获得了新的无分布检测技术的性能,并在检测嵌入高斯噪声的非波动目标以及参考样本之间存在干扰目标回报的情况下,将其与次优方案的性能进行了比较。新的非参数检测器显示出相对于次优处理器的相对改进。特别是当背景环境包含大量无关的目标时。

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