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Statistical Resolution Limit for Source Localization With Clutter Interference in a MIMO Radar Context

机译:MIMO雷达环境中具有杂波干扰的源定位的统计分辨率限制

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During the last decade, multiple-input multiple-ouput (MIMO) radar has received an increasing interest. One can find several estimation schemes in the literature related to the direction of arrivals and/or direction of departures, but their ultimate performance in terms of the statistical resolution limit (SRL) have not been fully investigated. In this correspondence, we fill this lack. Particulary, we derive the SRL to resolve two closely spaced targets in clutter interference using a MIMO radar with widely separated antennas. Toward this end, we use a hypothesis test formulation based on the generalized likelihood ratio test (GLRT). Furthermore, we investigate the link between the SRL and the minimum signal-to-noise ratio (SNR) required to resolve two closely spaced targets for a given probability of false alarm and for a given probability of detection. Finally, theoretical and numerical analysis of the SRL are given for several scenarios (with/without clutter interference, known/unknown parameters of interest and known/unknown noise variance).
机译:在过去的十年中,多输入多输出(MIMO)雷达受到了越来越多的关注。人们可以在文献中找到几种与到达方向和/或离开方向有关的估计方案,但是就统计分辨率极限(SRL)而言,它们的最终性能尚未得到充分研究。在这种通信中,我们填补了这一不足。特别是,我们推导了SRL,以使用天线分开的MIMO雷达解决杂波干扰中两个紧密间隔的目标。为此,我们使用基于广义似然比检验(GLRT)的假设检验公式。此外,我们研究了对于给定的误报概率和给定的检测概率,SRL与解析两个紧密间隔的目标所需的最小信噪比(SNR)之间的联系。最后,针对几种情况(有/无杂波干扰,已知/未知感兴趣参数和已知/未知噪声方差)给出了SRL的理论和数值分析。

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