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Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter

机译:存在杂波的MIMO雷达子空间压缩GLRT检测器

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摘要

The problem of optimising the target detection performance of MIMO radar in the presence of clutter is considered. The increased false alarm rate which is a consequence of the presence of clutter returns is known to seriously degrade the target detection performance of the radar target detector, especially under low SNR conditions. In this paper, a mathematical model is proposed to optimise the target detection performance of a MIMO radar detector in the presence of clutter. The number of samples that are required to be processed by a radar target detector regulates the amount of processing burden while achieving a given detection reliability. While Subspace Compressive GLRT (SSC-GLRT) detector is known to give optimised radar target detection performance with reduced computational complexity, it however suffers a significant deterioration in target detection performance in the presence of clutter. In this paper we provide evidence that the proposed mathematical model for SSC-GLRT detector outperforms the existing detectors in the presence of clutter. The performance analysis of the existing detectors and the proposed SSC-GLRT detector for MIMO radar in the presence of clutter are provided in this paper.
机译:考虑了在杂波存在下优化MIMO雷达目标检测性能的问题。已知由于杂波返回的存在而导致的增加的虚警率会严重降低雷达目标检测器的目标检测性能,尤其是在低SNR条件下。本文提出了一种数学模型,用于在杂波存在的情况下优化MIMO雷达探测器的目标探测性能。雷达目标检测器需要处理的样本数量可调节处理量,同时实现给定的检测可靠性。虽然众所周知,子空间压缩GLRT(SSC-GLRT)检测器可提供最佳的雷达目标检测性能,并降低了计算复杂性,但是在杂波的情况下,目标检测性能会显着下降。在本文中,我们提供的证据表明,在存在杂波的情况下,所提出的SSC-GLRT检测器数学模型优于现有检测器。本文对现有的检测器和拟议的用于MIMO雷达的SSC-GLRT检测器在存在杂波的情况下的性能进行了分析。

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