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Joint Beam Selection and Power Allocation for Multiple Target Tracking in Netted Colocated MIMO Radar System

机译:联网共置MIMO雷达系统中多目标跟踪的联合波束选择和功率分配

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摘要

In this paper, a joint beam selection and power allocation (JBSPA) strategy is developed for multiple target tracking in netted colocated multiple-input multiple-output radar system. Each radar in this network adopts a multibeam working mode, in which multiple simultaneous transmit beams are synthesized. The basis of the JBSPA strategy is to use the optimization technique to control the limited beam and power resource of each radar in order to achieve accurate target state estimation. The Bayesian Cramér-Rao lower bound is derived, normalized, and subsequently utilized, as the optimization criterion for the JBSPA strategy. The resulting optimization problem consists of two adaptable parameters, one for beam selection and the other for power allocation. By introducing an auxiliary vector, a fast two-step solution technique is presented to jointly decide the number of beams generated by each radar, as well as the assignment and transmit power of each beam, subject to some resource constraints. Simulation results verify the superiority of the proposed JBSPA algorithm, in terms of the worst-case tracking accuracy of the multiple targets.
机译:本文提出了一种联合波束选择和功率分配(JBSPA)策略,用于联网共置多输入多输出雷达系统中的多目标跟踪。该网络中的每个雷达均采用多波束工作模式,其中合成了多个同时发射波束。 JBSPA策略的基础是使用优化技术来控制每个雷达的有限波束和功率资源,以实现准确的目标状态估计。贝叶斯Cramér-Rao下界被导出,归一化并随后用作JBSPA策略的优化标准。由此产生的优化问题包括两个可调整的参数,一个用于波束选择,另一个用于功率分配。通过引入辅助矢量,提出了一种快速的两步法求解技术,以共同确定每个雷达生成的波束数量以及每个波束的分配和发射功率,但要受到一些资源的约束。仿真结果验证了所提出的JBSPA算法在多目标最坏情况下的跟踪精度方面的优越性。

著录项

  • 来源
    《IEEE Transactions on Signal Processing》 |2016年第24期|6417-6427|共11页
  • 作者单位

    National Laboratory of Radar Signal Processing, Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China;

    National Laboratory of Radar Signal Processing, Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China;

    National Laboratory of Radar Signal Processing, Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China;

    National Laboratory of Radar Signal Processing, Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China;

    National Laboratory of Radar Signal Processing, Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China;

    National Laboratory of Radar Signal Processing, Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    target tracking; MIMO radar; optimisation;

    机译:目标跟踪;MIMO雷达;优化;

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