宋玉伟1,
胡国平1,
李槟槟2,
张栋3
1.空军工程大学防空反导学院 西安 710051
2.空军预警学院 武汉 430019
3.中国人民解放军66135部队 北京 100041
基金项目:陕西省青年托举人才项目(20180109)，国家自然科学基金面上项目(61871395, 61971438)，陕西省自然科学基金面上项目(2019JM-155, 2020JM-345)
详细信息
作者简介:郑桂妹(1987–)，男，福建福州人，副教授，研究方向为阵列空间谱估计算法
宋玉伟(1986–)，女，辽宁大连人，博士研究生，研究方向为MIMO雷达谱估计
胡国平(1964–)，男，江西南昌人，教授，研究方向为阵列信号处理
李槟槟(1990–)，男，江西上饶人，讲师，研究方向为阵列空间谱估计
张栋：张 栋(1990–)，男，河北辛集人，工程师，研究方向为阵列空间谱估计
通讯作者:郑桂妹 zheng-gm@163.com
责任主编：陈伯孝 Corresponding Editor: CHEN Baixiao中图分类号:TN953
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出版历程
收稿日期:2020-04-17
修回日期:2020-06-04
网络出版日期:2020-06-25
Height Measurement for Meter-wave MIMO Radar Based on Block Orthogonal Matching Pursuit Preprocessing
ZHENG Guimei1,,,SONG Yuwei1,
HU Guoping1,
LI Binbin2,
ZHANG Dong3
1. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China
2. Air Force Early Warning Academy, Wuhan 430019, China
3. PLA 66135, Beijing 100041, China
Funds:The Young Talent fund of University Association for Science and Technology in Shaanxi of China(20180109), The National Natural Science Foundation of China(61871395, 61971438), The Natural Science Basic Research Plan in Shaanxi Province of China (2019JM-155, 2020JM-345)
More Information
Corresponding author:ZHENG Guimei, zheng-gm@163.com
摘要
摘要:米波雷达具有很好的反隐身性能。多输入多输出(MIMO)雷达的波形分集具有高自由度特点，使MIMO雷达在检测和参数估计等方面具有更多优势，故米波MIMO雷达受到广泛研究。而测高是米波MIMO雷达最重要的问题之一。针对米波MIMO雷达测高问题，最大似然和广义多重信号分类方法是米波MIMO阵列雷达测高方法行之有效的算法，但其计算量大，工程中难以接受。该文提出一种基于块正交匹配追踪(BOMP)预处理的方法来降低计算量。首先对MIMO阵列接收数据稀疏化处理，然后通过数学操作将其变形至适合于BOMP算法的信号模型，然后利用粗栅格得到角度粗估计。并以此为初始值中心，取MIMO雷达波束宽度作为搜索范围。仿真结果表明该算法能有效降低搜索类测高算法的计算量。
关键词:米波多输入多输出雷达/
测高/
块正交匹配追踪/
最大似然/
广义多重信号分类
Abstract:Meter-wave radar has good anti-stealth performance. The waveform diversity of Multiple-Input Multiple-Output (MIMO) radar can result in a higher degree of freedom, which makes MIMO radar more advantageous in detection and parameter estimation. Therefore, meter-wave MIMO radar has been widely studied. The radar height measurement is one of the most important research problems of the meter-wave MIMO radar. The maximum likelihood and generalized multiple signal classification algorithms are effective for measuring the radar height. However, they feature heavy computation complexity. In this paper, a preprocessing method based on Block Orthogonal Matching Pursuit (BOMP) is proposed to reduce the computation. First, the received data of MIMO array are sparse-processed, and then, using a mathematical operation, they are transformed into a signal model suitable for the BOMP algorithm; then coarse angle estimation is obtained using a large search grid. The coarse angle estimation is taken as the initial value, and the MIMO radar beam width as the search range. The simulation results show that the proposed algorithm can effectively reduce the computation of the search-type height measurement algorithm.
Key words:Meter wave Multiple-Input Multiple-Output (MIMO) radar/
Height measurement/
Block Orthogonal Matching Pursuit (BOMP)/
Maximum likelihood/
Generalized MUltiple SIgnal Classification (MUSIC)
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