Only a subset of transmitters and receivers in a distributed Multi-Input Multi-Output (MIMO) radar network is allowed to actively track a target at a particular instance due to the limited time and energy resource of a MIMO radar network. It is therefore desirable to obtain an efficient method to overcome the resource constraints while optimizing the tracking performance. In this study, posterior Cramer-Rao lower bound is used as the performance metric and the selection problem is formulated as a Boolean programming problem aiming at optimizing the worst tracking performance of multiple targets. It is later relaxed to a semidefinite programming and solved by the block coordinate descend method. Numerical results show that proposed method superior to the fixed selection method. In addition, with less computation complexity, the proposed method obtains nearly equivalent performance compared with exhaustive search method.
鲁彦希*, 何子述, 程子扬, 刘爽利. 多目标跟踪分布式MIMO雷达收发站联合选择优化算法[J]. 雷达学报, 2017, 6(1): 73-80.
Lu Yanxi*, He Zishu, Cheng Ziyang, Liu Shuangli. Joint Selection of Transmitters and Receivers in Distributed Multi-input Multi-output Radar Network for Multiple Targets Tracking. JOURNAL OF RADARS, 2017, 6(1): 73-80.
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2017, Vol. 6 
