现代防御技术 ›› 2018, Vol. 46 ›› Issue (3): 159-164.DOI: 10.3969/j.issn.1009-086x.2018.03.024

• 探测跟踪技术 • 上一篇    下一篇

最大化信干噪比的双基地MIMO雷达波形设计

吴磊, 李小波, 周青松, 李磊   

  1. 国防科技大学 电子对抗学院, 安徽 合肥 230037
  • 出版日期:2018-05-30 发布日期:2020-10-22
  • 作者简介:吴磊(1993-), 男, 江西婺源人。硕士生, 主要研究方向为MIMO雷达信号处理。
    通信地址:230037 安徽省合肥市蜀山区黄山路460号研3队 E-mail:wulei_eei@163.com

Bistatic MIMO Radar Waveform Design for SINR Maximization

WU Lei, LI Xiao-bo, ZHOU Qing-song, LI Lei   

  1. National University of Defense Technology, School of Electronic Countermeasure, Anhui Hefei 230037, China
  • Online:2018-05-30 Published:2020-10-22

摘要: 为提高双基地MIMO雷达在信号相关干扰条件下对区域目标的探测能力,同时兼顾降低接收端回波信号处理的难度,以雷达输出信干噪比(signal-to-interference-plus-noise ratio, SINR)最大化为准则,提出了一种信号相关干扰条件下的双基地MIMO雷达发射波形设计方法。首先,基于基波束思想将发射波形的设计转换为对发射加权矩阵的设计,然后采用循环优化方法对发射加权矩阵和接收机权值进行联合优化,通过广义Rayleigh商、半正定松弛技术及Charnes-Cooper变换求解问题,并利用高斯随机生成法得到最优发射加权矩阵向量解,最终通过矩阵化操作得到最优发射加权矩阵。实验仿真验证了所提方法的有效性。

关键词: 双基地MIMO雷达, 发射加权矩阵, 波形设计, 信干噪比, 凸优化, 半正定松弛

Abstract: To improve the detection capability of the bistatic multiple input multiple output (MIMO) radar and reduce the difficulty of receiving the echo signal processing, an algorithm for bistatic MIMO radar waveform design in presence of signal-dependent interference is proposed, which is based on maximizing signal-to-interference-plus-noise ratio (SINR). The waveform design problem is transformed into the problem of transmitting weighting matrix design basing basic beam, then the problem can be solved by generalized Rayleigh quotient, semi-definite relaxation technique and Charnes-Cooper transform, and the Gaussian randomization method is adopted to get the optimal transmitting weighting matrix vector. The optimal transmitting weighting matrix is obtained by the matrixing operation. The efficiency of the proposed algorithm is verified by the simulation results.

Key words: bistatic multiple-input multiple-output (MIMO) radar, transmit weighting matrix, waveform design, signal-to-interference-plus-noise ratio(SINR), convex optimization, semi-definite relaxation (SDR)

中图分类号: