系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (10): 3016-3023.doi: 10.12305/j.issn.1001-506X.2023.10.03

• 电子技术 • 上一篇    

基于优化星座图的MIMO雷达-通信一体化发射波形设计

黄超, 黄中瑞, 周青松, 张剑云   

  1. 国防科技大学电子对抗学院, 安徽 合肥 230037
  • 收稿日期:2022-05-04 出版日期:2023-09-25 发布日期:2023-10-11
  • 通讯作者: 黄中瑞
  • 作者简介:黄超(1991—), 男, 博士研究生, 主要研究方向为雷达通信一体化、阵列信号处理
    黄中瑞(1988—), 男, 讲师, 博士, 主要研究方向为MIMO雷达、阵列信号处理
    周青松(1982—), 男, 副教授, 博士, 主要研究方向为凸优化理论、稀疏理论
    张剑云(1963—), 男, 教授, 博士, 主要研究方向为雷达及目标环境模拟、雷达信号处理
  • 基金资助:
    安徽省自然科学基金(1908085QF252)

Transmit waveform design for MIMO radar communication system based on optimal constellation

Chao HUANG, Zhongrui HUANG, Qingsong ZHOU, Jianyun ZHANG   

  1. College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
  • Received:2022-05-04 Online:2023-09-25 Published:2023-10-11
  • Contact: Zhongrui HUANG

摘要:

针对电子信息设备对空间频谱资源的互相竞争问题, 考虑多输入多输出(multiple input multiple output, MIMO)雷达的波形分集优势, 提出了一种基于优化星座图的MIMO雷达-通信一体化(dual functional radar communication, DFRC)发射波形设计方法。首先, 构建了MIMO-DFRC系统的发射波形优化设计模型; 其次, 基于幅度和相位联合约束设计了通信信息植入策略。同时, 为进一步降低通信信息传输误码率(bit error rate, BER), 优化了期望通信信号的星座图, 并基于一阶泰勒展开的序列线性规划算法(sequential linear programming algorithm based on the first-order Taylor expansion, SLP-FTE)对其BER进行了高效求解。所设计波形能够同时实现雷达目标探测和通信信息传输一体化功能, 可以有效解决频谱拥塞问题。最后, 仿真分析验证了所提方法的有效性。

关键词: 多输入多输出雷达-通信一体化, 波形设计, 信息植入, 通信星座图

Abstract:

This paper proposes a novel transmit waveform design method of multiple input multiple output (MIMO) dual functional radar communication (DFRC) system based on an optimal constellation, which takes into account the waveform diversity advantages of MIMO radar in view of the competition between electronic information devices for spatial spectrum resource. Firstly, we constructed an optimization design model for the transmit waveform of the MIMO-DFRC system is constructed. Secondly, the communication information embedding strategy is designed based on the joint constraint of communication signal of amplitude and phase. Simultaneously, the constellation of the expected communication signal to further reduce the bit error rate (BER) of communication information transmission is optimized, which efficiently solved the BER by utilizing the sequential linear programming algorithm based on the first-order Taylor expansion(SLP-FTE). As the designed waveform can achieve the integrated functions of radar target detection and communication information transmission simultaneously, it can effectively solve the problem of spectrum congestion. Finally, the simulation analysis verifies the effectiveness of the proposed method.

Key words: multiple input multiple output (MIMO) dual-function radar communication, waveform design, information embedding, communication constellation

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