This letter deals with the problem of moving target localization in distributed multiple-input multiple-output (MIMO) radar systems using time delay (TD) and Doppler shift (DS) measurements. The proposed solution to this problem consists of two stages. In the first stage, an initial estimation of target location is obtained by solving the formulated maximum likelihood (ML) problem based on the TD measurements. In the second stage, by recognizing the obtained position estimate in the previous stage as a priori data and exploiting the DS measurements, another ML problem is formulated, which is efficiently solved via a tractable numerical method to produce a simultaneous estimation of target position and velocity vectors. Overall, the proposed method significantly outperforms the state-of-the-art algorithms under Gaussian noise model as corroborated by numerical simulations.

中文翻译：

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分布式 MIMO 雷达中移动目标定位的近似 ML 估计器


这封信讨论了使用时间延迟 (TD) 和多普勒频移 (DS) 测量的分布式多输入多输出 (MIMO) 雷达系统中的移动目标定位问题。针对该问题提出的解决方案包括两个阶段。在第一阶段，通过解决基于 TD 测量的最大似然 (ML) 问题来获得目标位置的初始估计。在第二阶段，通过将前一阶段获得的位置估计识别为先验数据并利用 DS 测量，制定另一个 ML 问题，该问题通过易于处理的数值方法有效解决，以产生目标位置和速度的同时估计向量。总体而言，正如数值模拟所证实的，所提出的方法在高斯噪声模型下显着优于最先进的算法。