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Finite sensor selection algorithm in distributed MIMO radar for joint target tracking and detection

机译:接头目标跟踪和检测分布式MIMO雷达有限传感器选择算法

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摘要

Due to the requirement of anti-interception and the limitation of processing capability of the fusion center, the subarray selection is very important for the distributed multiple-input multiple-output(MIMO) radar system, especially in the hostile environment. In such conditions, an efficient subarray selection strategy is proposed for MIMO radar performing tasks of target tracking and detection. The goal of the proposed strategy is to minimize the worst-case predicted posterior Cramer-Rao lower bound(PCRLB) while maximizing the detection probability for a certain region. It is shown that the subarray selection problem is NP-hard, and a modified particle swarm optimization(MPSO) algorithm is developed as the solution strategy. A large number of simulations verify that the MPSO can provide close performance to the exhaustive search(ES) algorithm. Furthermore, the MPSO has the advantages of simpler structure and lower computational complexity than the multi-start local search algorithm.

著录项

  • 来源
    《系统工程与电子技术(英文版)》 |2020年第2期|290-302|共13页
  • 作者单位

    Air and Missile Defense College Air Force Engineering University Xi'an 710051 China;

    Air and Missile Defense College Air Force Engineering University Xi'an 710051 China;

    Air and Missile Defense College Air Force Engineering University Xi'an 710051 China;

    Air Force Early Warning Academy of the PLA Wuhan 410039 China;

    Unit 95899 of the PLA Beijing 100085 China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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