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A practical approach to polarimetric adaptive target detection in passive radar

机译:一种无源雷达极化自适应目标检测的实用方法

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Recently, the exploitation of polarimetric diversity was considered as a way to improve target detection capability in passive radar systems. Specifically, it was shown that a locally adaptive Polarimetric - Generalized Likelihood Radio Test (PGLRT) detection scheme might represent an effective solution for passive radar exploiting different signals of opportunity. However, depending on the considered application, it could be highly computationally expensive. The present work presents an alternative lower-cost approach, based on a global adaptation of the polarimetric whitening filter. The proposed scheme is tested against experimental data collected by means of a dual-pol receiving system. The reported analysis shows that it allows comparable performance with respect to the previously introduced approach, especially when operating against scenarios characterized by strong interfering sources.
机译:最近,极化分集的开发被认为是提高无源雷达系统目标检测能力的一种方法。具体而言,已表明,本地自适应的极化-广义似然无线电测试(PGLRT)检测方案可能是无源雷达利用机会信号的有效解决方案。但是,根据所考虑的应用程序,它在计算上可能会非常昂贵。本工作基于对极化白化滤波器的整体适应,提出了另一种低成本方法。针对通过双极化接收系统收集的实验数据对提出的方案进行了测试。报告的分析表明,与先前引入的方法相比,它具有可比的性能,尤其是在针对具有强烈干扰源的场景下运行时。

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