MIMO雷达网络中多目标定位的有效传感器调度

Zengfu Wang, Xuezhi Wang, W. Moran, Q. Pan
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引用次数: 2

摘要

研究了在功率约束下,MIMO雷达网络中发射机/接收机的最优选择问题,该问题能使区域内多个目标的定位误差最小。我们证明了这样的问题可以被表述为具有次模方差缩减函数的估计方差最小化问题。基于子模块化的特性,提出了一种使总体估计协方差最小的发送/接收选择策略。同时,我们还提出了一种算法,该算法可以在多项式时间内有效地实现该传感器调度策略,并保证与最优解相比的精度。通过仿真算例验证了该方法的有效性和高效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient sensor scheduling for multi-target localisation in MIMO radar networks
The problem of optimally selecting a subset of transmitters and receivers from a set of transmitters/receivers in a MIMO radar network which will minimize the localisation error of multiple in-region targets of interest under power constraint is studied. We show that such a problem can be formulated as an estimation variance minimization problem with a submodular variance reduction function. Based on the property of submodularity, a transmitter/receiver selection policy which minimizes the overall estimation covariance is proposed. Together, we also present an algorithm which can efficiently implement this sensor scheduling policy in polynomial time with a guaranteed accuracy compared to the optimal solution. The effectiveness and efficiency of the proposed method are demonstrated using simulated examples.
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