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Polarimetric detection of maritime floating small target based on the Complex-valued Entropy Rate Bound Minimization

机译:基于复值熵率束缚最小化的海上浮动小目标的Polariemetric检测

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摘要

Detection of sea-surface small floating targets in maritime high-resolution surveillance radar has been an active area of research in recent years. In this paper, we propose a new detector based on a complex-valued independent component analysis (cICA) algorithm proposed by Geng-Shen Fu et al. called complex entropy rate bound minimization (CERBM), to look for targets in polarimetric radars. It uses received time series at cell under test (CUT) with different polarizations as distinct mixtures. The proposed detector can exploit all information of polarimetric radar for an accurate detection. It does separation on the mixtures using CERBM which results in two output sources, i.e. clutter and target. Finally, the target is detected using estimation of the parameters of K-distribution for outputted sources. Our experiments on the recognized IPIX radar database show that the proposed detector obtains better detection performance in comparison to the newly proposed detectors. The robustness of the detector is also investigated by experiment in either low and high sea state which shows its appropriate results.
机译:近年来,海面高分辨率监视雷达海面小浮动目标的检测是一个活跃的研究领域。在本文中,我们提出了一种基于Geng-Shen Fu等人提出的复合值的独立分析(CICA)算法的新探测器。称为复杂熵率绑定最小化(CERBM),以查找偏振雷达中的目标。它在经过测试(切割)的细胞中使用接收的时间序列,其具有不同的偏振作为不同的混合物。所提出的探测器可以利用偏振雷达的所有信息进行准确检测。它确实在使用CERBM的混合物上分离,这导致两个输出源,即杂波和靶标。最后,使用估计输出源的K分布参数来检测目标。我们对认可的IPIX雷达数据库的实验表明,与新提出的探测器相比,所提出的检测器获得更好的检测性能。还通过在低和高海状态下进行检测器的稳健性,显示其适当的结果。

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