Bayesian Detection for Distributed MIMO Radar with Non-Orthogonal Waveforms in Non-Homogeneous Clutter
Bayesian Detection for Distributed MIMO Radar with Non-Orthogonal Waveforms in Non-Homogeneous Clutter
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DOI：
10.1109/radarconf2351548.2023.10149555
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
Cengcang Zeng;Fangzhou Wang;Hongbin Li;Mark A. Govoni
中科院分区：
文献类型：
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作者：
Cengcang Zeng;Fangzhou Wang;Hongbin Li;Mark A. Govoni
研究了非均匀杂波环境下非正交波形的分布式多输入多输出（MIMO）雷达目标检测问题。首先，我们提出了一个通用的分布式MIMO雷达在杂波环境中的信号模型。为了科普非均匀杂波和可能的杂波带宽失配，干扰（杂波和噪声）信号的协方差矩阵建模为逆复Wishart分布的随机矩阵。然后，我们提出了三种贝叶斯检测器，包括非相干检测器，相干检测器和混合检测器。后者是前两者的折衷，因为它放弃了相干检测器所需的相位估计，但需要相干处理间隔（CPI）内的样本来维持非相干检测器不必要的相位相干性。仿真结果表明，这些贝叶斯检测器和他们的非贝叶斯对应的非均匀杂波时，杂波带宽是准确的，分别与不确定性的性能。
This paper considers target detection in distributed multi-input multi-output (MIMO) radar with non-orthogonal waveforms in non-homogenous clutter. We first present a general signal model for distributed MIMO radar in cluttered environments. To cope with the non-homogenous clutter and possible clutter bandwidth mismatch, the covariance matrix of the disturbance (clutter and noise) signal is modeled as a random matrix following an inverse complex Wishart distribution. Then, we propose three Bayesian detectors, including a non-coherent detector, a coherent detector, and a hybrid detector. The latter is a compromise of the former two, as it forsakes phase estimation needed by the coherent detector, but requires the samples within a coherent processing interval (CPI) to maintain phase coherence that is unnecessary for the non-coherent detector. Simulation results are presented to illustrate the performance of these Bayesian detectors and their non-Bayesian counterparts in non-homogeneous clutter when the clutter bandwidth is known exactly and, respectively, with uncertainty.