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首页> 外文期刊>Radar, Sonar & Navigation, IET >Non-parametric detector in non-homogeneous clutter environments with knowledge-aided permutation test
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Non-parametric detector in non-homogeneous clutter environments with knowledge-aided permutation test

机译：非均匀杂波环境中的非参数检测器，具有知识辅助的置换测试

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摘要

In this study, a new kind of knowledge-aided (KA) permutation test (PT) detector is proposed for the problem of performance deterioration of the PT in complex non-homogeneous clutter environments. The proposed detector consists of two parts, a data selector and a conventional PT. The data selector uses the geographic information system (GIS) to select the reference cells which have similar clutter characteristics with the cell under test. Samples from the reference cells selected by the data selector are used to determine the detection threshold of the PT. Because the PT is a non-parametric method, the proposed detector can maintain a constant false alarm rate without knowing the clutter's distribution type, which is very important in complex clutter environments. Considering the computation complexity of the PT, the authors also provide an implementation algorithm for the PT called `valid strategy method', which is more efficient than the direct calculation method. In order to prove the excellent performance of the KA-PT detector, this detector is compared with some conventional detectors in terms of the false-alarm number and detection probability with the real data collected by IPIX radar. The results show that incorporating the non-parametric method with the prior GIS can significantly improve detectors' performance in practice.
机译：在这项研究中，针对复杂非均匀杂波环境中PT性能下降的问题，提出了一种新型的知识辅助（KA）置换测试（PT）检测器。所提出的检测器由两部分组成：数据选择器和常规PT。数据选择器使用地理信息系统（GIS）来选择与被测单元具有相似杂波特性的参考单元。数据选择器选择的来自参考单元的样本用于确定PT的检测阈值。由于PT是一种非参数方法，因此所提出的检测器可以保持恒定的误报率，而无需了解杂波的分布类型，这在复杂的杂波环境中非常重要。考虑到PT的计算复杂性，作者还为PT提供了一种称为“有效策略方法”的实现算法，该算法比直接计算方法更有效。为了证明KA-PT探测器的出色性能，在IP雷达收集的真实数据方面，将该探测器与一些常规探测器进行了比较，在虚警数量和探测概率方面进行了比较。结果表明，将非参数方法与先前的GIS结合起来可以在实践中显着提高探测器的性能。

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