系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (10): 2860-2868.doi: 10.12305/j.issn.1001-506X.2021.10.20

• 传感器与信号处理 • 上一篇    下一篇

突出重点目标跟踪的分布式MIMO雷达阵元选取

蒋春启1,*, 郑娜娥1, 左宗1, 王盛1, 陈翔2   

  1. 1. 战略支援部队信息工程大学数据与目标工程学院, 河南 郑州 450001
    2. 电子信息系统复杂电磁环境效应国家重点实验室, 河南 洛阳 471003
  • 收稿日期:2020-04-14 出版日期:2021-10-01 发布日期:2021-11-04
  • 通讯作者: 蒋春启
  • 作者简介:蒋春启(1988—), 男, 硕士研究生, 主要研究方向为MIMO雷达资源分配|郑娜娥(1984—), 女, 讲师, 博士, 主要研究方向为MIMO雷达技术、无线通信和空间信息技术|左宗(1993—), 男, 助教, 硕士, 主要研究方向为精密定位和MIMO雷达资源分配|王盛(1984—), 男, 讲师, 博士, 主要研究方向为通信信息处理|陈翔(1986—), 男, 助理研究员, 博士研究生, 主要研究方向为电磁环境特性与模拟
  • 基金资助:
    电子信息系统复杂电磁环境效应(CEMEE)国家重点实验室2018年度开放课题/主任基金(CEMEE2018Z0103B)

Antenna selection of distributed MIMO radar on target tracking with key target highlighted

Chunqi JIANG1,*, Na'e ZHENG1, Zong ZUO1, Sheng WANG1, Xiang CHEN2   

  1. 1. School of Date and Target Engineering, Strategic Support Force Information Engineering University, Zhengzhou 450001, China
    2. State Key Laboratory of Complex Elctromagnetic Environment Effects on Elecrtronics and Information System, Luoyang 471003, China
  • Received:2020-04-14 Online:2021-10-01 Published:2021-11-04
  • Contact: Chunqi JIANG

摘要:

在分布式多输入多输出(multiple input multiple output, MIMO)雷达执行目标检测和跟踪多任务时, 为了在多个目标中突出对重点目标的跟踪, 提出了基于改进公平起点搜索的阵元选取模型与求解算法。在限定目标检测性能、跟踪性能和系统资源的前提下, 以最小的阵元集合为代价函数, 建立优化模型。为在同一框架下讨论系统的不同性能指标, 对参数进行预处理, 将表征跟踪性能的位置估计误差界进行去量纲化、归一化处理。分别引入表征目标重要程度和任务重要程度的权重因子, 得到表征系统综合性能的参数。遍历每一个初始阵元对, 逐次增加对系统贡献最大的阵元, 最终完成阵元集的选择。仿真结果表明, 所提算法能够提供接近穷举算法的性能并有效降低系统计算量。

关键词: 分布式多输入多输出雷达, 资源分配, 多任务, 重点目标

Abstract:

In order to highlight the tracking performance of key targets in multiple targets, the algorithm of model establishment of antenna selection and its solution based on modified fair multi-start local search is proposed for antenna selection of distributed multiple input multiple output (MIMO) radar under the multitask of target detection and tracking. On the premise of limiting the target detection performance, tracking performance and system resources, the optimization model is established with the minimum set of antennas as the cost function. In order to discuss the different performance indexes of the system in the same framework, the parameter preprocessing is carried out, and the position estimation error bounds of targets which represent the performance of target tracking are non-dimensionalized and normalized. The weight factors of the target importance and task importance are introduced to get the parameter of the comprehensive performance of the system. Traverse each initial antennas set, the antenna that contribute the most to the system is added step by step, and finally complete the selection of antennas set. The simulation results show that the proposed algorithm can provide the performance that near exhaustive algorithm and effectively reduce the system computation.

Key words: distributed multiple input multiple output (MIMO) radar, resource allocation, multitask, key targets

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