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.

中文翻译：

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并置 MIMO 雷达中目标跟踪的天线选择


如何利用有限的天线来跟踪多个目标对于并置多输入多输出雷达至关重要。为了解决这个问题，提出了一种动态天线选择策略。我们策略的基础是利用跟踪递归周期中的反馈信息在有限有源天线的约束下实现最优天线选择，提高多目标间估计精度的最差情况。由于后 Cramer-Rao 下界量化了目标跟踪性能，因此它被导出并用作优化标准。然后，我们提出了一种将凸松弛技术与局部搜索相结合的有效算法来解决该问题。仿真结果表明，与随机天线选择策略和启发式搜索算法相比，该算法具有优越的性能。此外，所提出的策略可以提供接近穷举搜索方法的性能，同时保持合理的运行时间。