Volume 6 Issue 1
Apr.  2017
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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[J]. Journal of Radars, 2017, 6(1): 73-80. doi: 10.12000/JR16106
Citation: 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[J]. Journal of Radars, 2017, 6(1): 73-80. doi: 10.12000/JR16106

Joint Selection of Transmitters and Receivers in Distributed Multi-input Multi-output Radar Network for Multiple Targets Tracking

doi: 10.12000/JR16106
Funds:  The National Natural Science Foundation of China (61671139)
  • Received Date: 2016-09-15
  • Rev Recd Date: 2017-01-23
  • Available Online: 2017-03-06
  • Publish Date: 2017-02-28
  • 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.

     

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