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Scaling laws and phase transitions for target detection in MIMO radar

机译:MIMO雷达中目标检测的定标律和相变

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The performance of MIMO radar has been a subject of intense study in the past decades. For such a system, however, the important phenomenon of phase transition has received little attention in the literature. In this paper, we study the phase transition on the target detection probability of a SNR maximizing detector. Such a detector declares a target to be present when the largest eigenvalue of the observed data matrix exceeds a threshold. In particular, we identify a critical value below and above which the limiting detection performance is described by the Tracy-Widom law and the Gaussian law, respectively. Under both laws, the scaling limits and asymptotic expansions of misdetection probability at the vanishing regime are derived using tools from random matrix theory.
机译:在过去的几十年中,MIMO雷达的性能一直是研究的重点。然而,对于这样的系统,相变的重要现象在文献中很少受到关注。在本文中,我们研究了SNR最大化检测器的目标检测概率上的相变。当所观察到的数据矩阵的最大特征值超过阈值时,这种检测器宣布存在目标。特别是,我们确定了一个临界值,在该临界值之上和之下,分别由Tracy-Widom定律和高斯定律描述了极限检测性能。在这两个定律下,使用随机矩阵理论的工具推导出消失状态下的误检概率的标度极限和渐近扩展。

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