系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

二维混合MIMO相控阵雷达收发波束空间设计

刘帅琦1, 王布宏1, 李夏1, 田继伟1, 曹帅2   

  1. 1. 空军工程大学信息与导航学院, 陕西 西安 710077;
    2. 中国人民解放军93801部队, 陕西 咸阳 712200
  • 出版日期:2017-09-27 发布日期:2010-01-03

Joint transmit and receive beamspace design for two-dimensional hybrid MIMO phased-array radar

LIU Shuaiqi1, WANG Buhong1, LI Xia1, TIAN Jiwei1, CAO Shuai2   

  1. 1. Information and Navigation College, Air Force Engineering University, Xi’an 710077, China;
    2. Unit 93801 of the PLA, Xianyang 712200, China
  • Online:2017-09-27 Published:2010-01-03

摘要:

针对如何提高低信噪比条件下二维混合多输入多输出(multiple input multiple output, MIMO)相控阵雷达波达方向估计精度问题,结合收发联合波束空间设计给出了解决方案。首先利用半定规划方法设计发射权值,构造旋转平移不变关系,实现发射方向图能量聚焦,约束旁瓣电平,在干扰方位形成发射零陷;在此基础上,结合最小方差无失真响应算法优化阵列接收权值,提高接收端信干噪比。仿真结果表明,所提方法能够提高低信噪比条件下二维混合MIMO相控阵雷达波达方向估计精度。

Abstract:

Aiming at improving the direction of arrival (DOA) estimation accuracy of the two-dimensional hybrid multiple input multiple output (MIMO) phased-array radar in low signal-to-noise ratio(SNR)environment,an effective solution is proposed based on joint transmit and receive beamspace design. First, the transmit weight vector is designed by semidefinite optimization (SDP) to construct rotational invariance property, realize transmit energy focusing, control the side lobe and form nulls in the interference locations. Then the receive weight vector is designed by minimize variance distortionless response (MVDR) to improve the receive signal to noise plus interference ratio (SINR). Numerical simulations show that our approach can improve DOA estimation accuracy of the two-dimensional hybrid MIMO phased-array radar in low SNR environment.