| 注册
首页|期刊导航|太赫兹科学与电子信息学报|干扰环境下MIMO雷达波形与接收滤波联合优化算法

干扰环境下MIMO雷达波形与接收滤波联合优化算法

李玉翔 胡捍英 赵智昊 李海文

太赫兹科学与电子信息学报2017,Vol.15Issue(3):388-394,7.
太赫兹科学与电子信息学报2017,Vol.15Issue(3):388-394,7.DOI:10.11805/TKYDA201703.0388

干扰环境下MIMO雷达波形与接收滤波联合优化算法

Joint optimization algorithm of waveform and receiving filter for MIMO radar in the presence of interference

李玉翔 1胡捍英 1赵智昊 1李海文1

作者信息

  • 1. 信息工程大学导航与空天目标工程学院,河南郑州 450002
  • 折叠

摘要

Abstract

Conventional radar generally uses fixed transmit waveform, which is difficult to obtain optimal target detection performance in the presence of interference. To solve this problem, a joint optimization algorithm of waveform and receiving filter for Multiple-Input Multiple-Output(MIMO) radar is proposed. Firstly, output signal to interference and noise ratio maximization is used as objective function. By setting transmit waveform to satisfy constant modulus constraint, the joint optimization model of waveform and receiving filter is established under a similarity constraint involving a reference radar waveform. Then, under the framework of cyclic iterative algorithm, the joint optimization problem is decomposed into two sub-optimization problems, which are solved by using Lagrange multiplier method and semi-definite relaxation technique respectively. The proposed joint optimization algorithm finally results in transmit waveform and receiving filter weights. Simulation results show that the proposed method has higher output signal-to-noise ratio than the existing methods, and achieves better interference suppression performance with an eye to pulse compression property of the transmit waveform.

关键词

多输入多输出雷达/干扰抑制/波形设计/相似约束

Key words

Multiple-Input Multiple-Output radar/interference suppression/waveform design/similarity constraint

分类

信息技术与安全科学

引用本文复制引用

李玉翔,胡捍英,赵智昊,李海文..干扰环境下MIMO雷达波形与接收滤波联合优化算法[J].太赫兹科学与电子信息学报,2017,15(3):388-394,7.

基金项目

国家自然科学基金资助项目(41301481) (41301481)

太赫兹科学与电子信息学报

OA北大核心CSTPCD

2095-4980

访问量0
|
下载量0
段落导航相关论文