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Target Localization Methods Based on Iterative Super-Resolution for Bistatic MIMO Radar

机译:基于迭代MIMO雷达迭代超分辨率的目标定位方法

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摘要

The direction-of-departure (DOD) and the direction-of-arrival (DOA) are important localization parameters in bistatic MIMO radar. In this paper, we are interested in DOD/DOA estimation of both single-pulse and multiple-pulse multiple-input multiple-output (MIMO) radars. An iterative super-resolution target localization method is firstly proposed for single-pulse bistatic MIMO radar. During the iterative process, the estimated DOD and DOA can be moved from initial angles to their true values with high probability, and thus can achieve super-resolution estimation. It works well even if the number of targets is unknown. We then extend the proposed method to multiple-pulse configuration to estimate target numbers and localize targets. Compared with existing methods, both of our proposed algorithms have a higher localization accuracy and a more stable performance. Moreover, the proposed algorithms work well even with low sampling numbers and unknown target numbers. Simulation results demonstrate the effectiveness of the proposed methods.
机译:偏离方向(DOD)和到达方向(DOA)是双面MIMO雷达中的重要定位参数。在本文中,我们对单脉冲和多脉冲多输入多输出(MIMO)雷达的DOD / DOA估计感兴趣。首先提出了一种迭代超分辨率目标定位方法,用于单脉冲双脉冲MIMO雷达。在迭代过程中,估计的国防部和DOA可以从初始角度移动到具有高概率的真实值,因此可以实现超分辨率估计。即使目标的数量未知,它也很好。然后,我们将所提出的方法扩展到多脉冲配置,以估计目标数字和本地化目标。与现有方法相比,我们所提出的算法中的两个都具有更高的本地化精度和更稳定的性能。此外,所提出的算法即使具有低采样数和未知的目标数字,也可以很好地工作。仿真结果证明了所提出的方法的有效性。

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