A method using influence function for evaluating robustness of CFAR detectors

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509) Pub Date : 2004-04-26 DOI:10.1109/NRC.2004.1316500

H. Meng, Xiqin Wang, Hao Zhang, Yingning Peng

引用次数: 1

Abstract

A method for evaluating the robustness of constant false alarm rate (CFAR) detectors is presented; it is based on the powerful methodology of influence function (IF) developed in the literature on robust statistics. The robustness of different kinds of CFAR detectors can be evaluated and compared by calculating the first derivative of the false alarm probability (FAP) and detection probability (DP) at an underlying distribution, which are named IF-FAP and IF-DP. The two IFs are compared among some kinds of CFAR detectors. It is concluded that the robustness of a detector can be asymptotically represented by the IF of the clutter power estimator. Finally, according to a robust measure drawn from the IF of the clutter power estimator, the "most robust" detectors in three ordered-statistic-based groups are presented.

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利用影响函数评价CFAR检测器鲁棒性的方法

提出了一种评估恒虚警率(CFAR)检测器鲁棒性的方法;它是基于在稳健统计文献中发展起来的强大的影响函数(IF)方法。通过计算虚警概率(FAP)和检测概率(DP)在一个底层分布上的一阶导数，分别命名为IF-FAP和IF-DP，可以评价和比较不同类型CFAR检测器的鲁棒性。并在几种CFAR探测器中对这两种干扰素进行了比较。结果表明，杂波功率估计器的中频可以渐近地表示检测器的鲁棒性。最后，根据杂波功率估计器中频的鲁棒度量，给出了三组有序统计的“最鲁棒”检测器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)

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