Polarimetric diversity has been recently shown to significantly improve the target detection performance in the passive radar systems if properly exploited to mitigate the competing interference. An adaptive processing scheme is presented in this article, leveraging the information conveyed using multipolarized receiving antennas and modeling the disturbance as a multichannel autoregressive process. Despite the fact that this approach operates with a limited number of the adaptive degrees of freedom, the long integration time exploited by a passive radar typically requires a substantial computational cost and ad hoc expedients for its application. Therefore, a modified cost-effective implementation of the conceived solution is proposed in order to reduce the computational burden while controlling the resulting loss. The authors extensively demonstrate the effectiveness of the proposed solution against the experimental data collected by an FM radio-based passive coherent location system. The experimental results show that the proposed processing scheme yields a remarkable improvement with respect to both the conventional processing at the single polarimetric channel and the state-of-the-art strategies exploiting the polarization diversity in passive radars.

中文翻译：

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偏振无源雷达：参数自适应检测的实用方法

最近表明，如果适当利用极化分集来减轻竞争干扰，可以显着提高无源雷达系统中的目标检测性能。本文提出了一种自适应处理方案，利用多极化接收天线传达的信息并将干扰建模为多通道自回归过程。尽管这种方法以有限数量的自适应自由度运行，但无源雷达利用的长积分时间通常需要大量计算成本和特殊权宜之计才能应用。因此，为了减少计算负担，同时控制由此产生的损失，提出了对构想的解决方案进行修改的经济高效的实施方案。作者根据基于 FM 无线电的无源相干定位系统收集的实验数据广泛证明了所提出的解决方案的有效性。实验结果表明，相对于单极化信道的传统处理和利用无源雷达极化分集的最新策略，所提出的处理方案产生了显着的改进。