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Low-grazing angle detection in compound-Gaussian clutter with MIMO radar

机译:MIMO雷达在复合高斯杂波中的低掠角检测

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This paper focuses on the target detection in low-grazing angle using Multiple-input Multiple-output (MIMO) radar systems with widely separated antennas in compound-Gaussian clutter, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient considering the curved earth effect is derived. Then, the general signal model for MIMO radar is introduced in low-grazing angle, also, the generalised likelihood ratio test (GLRT) and generalized likelihood ratio test-linear quadratic (GLRT-LQ) are derived with known covariance matrix. Via the numerical examples, it is shown that the derived GLRT-LQ detector outperforms the GLRT detector in low-grazing angle, and both performance can be enhanced markedly when the multipath effects are considered.
机译:本文着重研究在低掠角条件下使用复合高斯杂波中天线间隔较大的多输入多输出(MIMO)雷达系统进行目标检测的情况,该系统的多径效应非常丰富。通过利用多径回波可以提高检测性能。首先,导出考虑弯曲地球效应的反射系数。然后,以低掠角引入了MIMO雷达的通用信号模型,并利用已知的协方差矩阵推导了广义似然比检验(GLRT)和广义似然比检验线性二次方(GLRT-LQ)。通过数值示例表明,在低掠角下,导出的GLRT-LQ检测器优于GLRT检测器,当考虑多径效应时,两种性能都可以得到显着提高。

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