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Antenna selection in MIMO radar with collocated antennas

机译:并置天线的MIMO雷达中的天线选择

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摘要

An antenna adjustment strategy is developed for the target tracking problem in the collocated multiple-input multiple-output (MIMO) radar. The basic technique of this strategy is to optimally allocate antennas by the prior information in the tracking recursive period, with the objective of enhancing the worst-case estimate precision of multiple targets. On account of the posterior Cramer-Rao lower bound (PCRLB) offering a quantitative measure for target tracking accuracy, the PCRLB of joint direction-of-arrival (DOA) and Doppler is derived and utilized as the optimization criterion. It is shown that the dynamic antenna selection problem is NP-hard, and an efficient technique which combines convex relaxation with local search is put forward as the solution. Simulation results demonstrate the outperformance of the proposed strategy to the fixed antenna configuration and heuristic search algorithm. Moreover, it is able to offer close-to performance of the exhaustive search method.
机译:针对并置多输入多输出(MIMO)雷达中的目标跟踪问题,开发了一种天线调整策略。该策略的基本技术是在跟踪递归周期中根据先验信息优化分配天线,以提高多个目标的最坏情况估计精度。由于后方Cramer-Rao下界(PCRLB)提供了目标跟踪精度的定量度量,因此得出了联合到达方向(DOA)和多普勒的PCRLB,并将其用作优化标准。结果表明,动态天线选择问题是NP难的,提出了一种结合凸松弛和局部搜索的有效技术。仿真结果证明了该策略在固定天线配置和启发式搜索算法上的性能。而且,它能够提供接近穷举搜索方法的性能。

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