多目标非相干MIMO雷达联合定位和速度估计的Cramer-Rao界

Chuanming Wei, Qian He, Rick S. Blum
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引用次数: 24

摘要

本文重点研究了多目标非相干MIMO雷达联合定位和速度估计的性能边界,这是前人没有研究过的问题。为双目标情况提供了Cramer-Rao界的封闭表达式。我们使用数值模拟来验证Cramer-Rao边界,并使用这些边界来研究非相干MIMO雷达系统的性能。分析了目标间距离对估计性能的影响。仿真结果表明,单目标情况下的空间优势同样适用于双目标情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cramer-Rao bound for joint location and velocity estimation in multi-target non-coherent MIMO radars
In this paper, we focus on a performance bound for joint location and velocity estimation in non-coherent MIMO radars with multiple targets, which has not been studied before. Closed-form expressions for the Cramer-Rao bound are provided for a two-target case. We use numerical simulations to validate the Cramer-Rao bounds and use these bounds to study the performance of a non-coherent MIMO radar system. We analyze the influence of the distance between two targets on the estimation performance. Simulation results reveal that the spatial advantage, which was uncovered previously for a single-target case, also applies for two targets.
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