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Antenna Selection for Target Tracking in Collocated MIMO Radar

机译:构建MIMO雷达中目标跟踪的天线选择

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摘要

How to utilize the limited antennas for tracking multiple targets plays a critical role in the collocated multiple-input multiple-output radar. A dynamic antenna selection strategy is proposed to address this problem. The basis of our strategy is to achieve the optimal antenna selection under the constraint of limited active antennas using the feedback information in the tracking recursion cycle, improving the worst case of estimate accuracy among multiple targets. Since the posterior Cramer-Rao lower bound quantifies the target tracking performance, it is derived and utilized as the optimization criterion. We then propose an efficient algorithm which integrates the convex relaxation technique with the local search to solve the problem. Simulation results show its superior performance compared with the random antenna selection strategy and the heuristic search algorithm. Moreover, the proposed strategy can provide the performance close to the exhaustive search method while maintaining reasonable runtime.
机译:如何利用用于跟踪多个目标的有限天线在并置多输入多输出雷达中起着关键作用。提出了一种动态的天线选择策略来解决这个问题。我们的策略的基础是利用跟踪递归周期中的反馈信息,在有限的主动天线的约束下实现最佳天线选择,从而改善多个目标之间的估计准确性的最坏情况。由于后克拉姆 - RAO下限量量化了目标跟踪性能,因此它被导出并用作优化标准。然后,我们提出了一种高效的算法,该算法将凸松弛技术与本地搜索集成以解决问题。仿真结果表明其与随机天线选择策略和启发式搜索算法相比的卓越性能。此外,所提出的策略可以在保持合理的运行时提供靠近详尽的搜索方法的性能。

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