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Knowledge-aided Target Detection in Sea Clutter for Distributed MIMO Sky-wave Radar

机译:用于分布式MIMO天波雷达的海杂波中的知识辅助目标检测

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In this paper, we discuss the detection of target in sea clutter for distributed MIMO sky-wave radar. Noticing the phenomenon that the sky-wave radar sea clutter Doppler spectrum is sharp at a few frequency points, the sea clutter can be described by a low-rank subspace for different transmit-receive pair of distributed MIMO sky-wave radar. We take the way like[1] to establish a generalized-likelihood ratio test (GLRT). The proposed sea clutter models are bases on monostatic scatter, not suitable to the bistatic scattering situation of each transmit-receive pair of distributed MIMO sky-wave radar. In order to construct the clutter subspace which will be used as prior knowledge for detector, a sea clutter model is proposed for the distributed MIMO sky-wave radar. Then the knowledge-aided detector is established. Numerical simulation verified the effectiveness of the sea clutter and the detector.
机译:在本文中,我们讨论了分布式MIMO天波雷达的海杂波靶的检测。注意到天空波雷达海杂波多普勒光谱在少数频率点处锐利的现象,可以通过低秩子空间来描述不同传输接收对分布式MIMO天波雷达的低秩杂波。我们采取了像[1]的方式建立通用似然比测试(GLRT)。所提出的海杂波模型是单身散射的基础,不适合于每个传输接收对分布式MIMO天波雷达的双孔散射情况。为了构建将用作检测器的先前知识的杂波子空间,提出了一种用于分布式MIMO天波雷达的海杂波模型。然后建立知识辅助探测器。数值模拟验证了海杂波和探测器的有效性。

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