基于发射分集的MIMO雷达相参信号处理方法

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (8): 1836-1841.

基于发射分集的MIMO雷达相参信号处理方法

陈金立¹, 顾红¹, 苏卫民¹, 刘炳奇²

1. 南京理工大学电子工程系, 江苏, 南京, 210094;
2. 南京电子技术研究所, 江苏, 南京, 210013

收稿日期:2008-04-23 修回日期:2008-09-20 出版日期:2009-08-20 发布日期:2010-01-03
作者简介:陈金立(1982- ),男,博士研究生,主要研究方向为MIMO雷达信号处理等.E-mail:chen820803@yahoo.cn
基金资助:
国家自然科学基金(60672075)资助课题

Method of coherent signal processing for MIMO radar based on transmitting diversity

CHEN Jin-li¹, GU Hong¹, SU Wei-min¹, LIU Bing-qi²

1. Dept. of Electronic Engineering, Nanjing Univ. of Science and Technology, Nanjing 210094, China;
2. Nanjing Inst. of Electronics Technology, Nanjing 210013, China

Received:2008-04-23 Revised:2008-09-20 Online:2009-08-20 Published:2010-01-03

摘要/Abstract

摘要： 针对多个运动的慢起伏目标情况,研究了发射分集多入多出(multiple input multiple output,MIMO)雷达的相参信号处理方法.提出了一种重复利用回波数据的目标参数估计算法.发射分集MIMO雷达的发射阵元间距满足空间分集条件,其接收端采用阵元间距为半波长的均匀线阵.按距离门对其回波信号进行脉压-Capon谱估计,可提取出各目标对应不同发射阵元的初步位置信息.然后利用回波数据及目标的初步位置信息,把同一目标对应不同发射阵元的脉压数据矢量经多普勒频移和相位补偿后相加,再进行Capon谱估计,获得高精度的目标方位角估计值.仿真结果表明,该算法可对雷达观测区域内的多个动目标进行高精度定位.

Abstract: Aiming at multiple moving targets with slow fluctuations,a method of coherent signal processing for multiple input multiple ontput(MIMO) radars based on transmitting diversity is studied,and a parameter estimation algorithm reusing echo signals is proposed.The transmitting antennas are widely spaced to satisfy the demands of spatial diversity with respect to the targets,while the receiver is a uniform linear array(ULA) with an interval of half-wavelength between array elements.After processing the echo signals along each range gate by a pulse compression-Capon estimation algorithm,the preliminary information resulted from various transmitting array elements corresponding to the different targets are acquired.Then,using the echo signal and the preliminary information of target positions once again,the pulse compression data vectors generated from various transmitting array elements corresponding to the same target are added via Doppler frequency shift and phase compensation.Finally,the highly precise estimation of target azimuths is obtained by processing the added pulse compression data vector with Capon algorithm again.Simulations show that the algorithm is effective for moving multi-targets localization and has high localization precision.

中图分类号:

TN957.51

陈金立, 顾红, 苏卫民, 刘炳奇. 基于发射分集的MIMO雷达相参信号处理方法[J]. Journal of Systems Engineering and Electronics, 2009, 31(8): 1836-1841.

CHEN Jin-li, GU Hong, SU Wei-min, LIU Bing-qi. Method of coherent signal processing for MIMO radar based on transmitting diversity[J]. Journal of Systems Engineering and Electronics, 2009, 31(8): 1836-1841.

参考文献

[1] 何子述,韩春林,刘波.MIMO雷达概念及其技术特点分析[J].电子学报,2005,33(12):2441-2445.
[2] Fishier E,Haimovicht A,Blumt R,et al.MIMO radars an idea whose time has come[C]//Froc.of IEEE Radar Conference,Philadelphia,PA,United States,2004:71-78.
[3] Lehmann N H,Fishier E,Haimovicht A,et al.Evaluation of transmit diversity in MIMOradar direction finding[J].IEEE Trans.on Signal Processing,2007,55(5):2215-2225.
[4] Fishier E,Haimovich A,Blum R S,et al.Spatial diversity in radars-models and detection performance[J].IEEE Trans.on Signal Processing,2006,54(3):823-838.
[5] Fishier E,Haimovich A,Blum R,et al.Performance of MIMO radar systems:advantages of angular diversity[C]//Conference Record of the Thirty-Eighth Asilomar Conference on Signals,Systems and Computers.Pacific Grove,California,United States,2004:305-309.
[6] Bekkerman I,Tabrikian J.Target detection and localization using MIMO radars and sonars[J].IEEE Trans.on Signal Processing,2006,54(10):3873-3883.
[7] Xia W,He Z,Liao Y.Subspace-based method for multiple-target localization using MIMO radars[C]//IEEE International Symposium on Signal Processing and Information Technology,Giza,Egypt,2007:715-720.
[8] Haimovich A M,Blum R S,Cimini L J,et al.MIMO radar with widely separated antennas[J].IEEE Signal Processing Magazine,2008,25(1):116-129.
[9] Calvary P,Janer D.Spatio-temporal coding for radar array processing[C]//Proc.of the IEEE International Conference on Acoustics,Speech,and Signal Processing,Seattle,WA,1998:2509-2512.
[10] Li S,Zeng T,Long T.Maneuvering target tracking based on multistatic system Doppler measurements[C]//6th International Conference on Signal Processing,Beijing,China,2002:1484-1487.
[11] 王永良,陈辉,彭应宁,等.空间蹭估计理论与算法[M].北京:清华大学出版社,2004:59-61.
[12] 王世一.数字信号处理[M].修订版.北京:北京理工大学出版社,1997:151-156.

[1]	雷禹, 冷祥光, 周晓艳, 孙忠镇, 计科峰. 基于改进ResNet网络的复数SAR图像舰船目标识别方法[J]. 系统工程与电子技术, 2022, 44(12): 3652-3660.
[2]	唐军奎, 刘峥, 谢荣, 曾波. MIMO雷达稀疏阵列优化设计方法[J]. 系统工程与电子技术, 2022, 44(12): 3661-3666.
[3]	杨立儒, 刘永祥, 杨威. 基于迁移学习的雷达杂波幅度统计模型选择[J]. 系统工程与电子技术, 2022, 44(8): 2457-2467.
[4]	周毅恒, 杨军, 夏赛强, 吕明久. 闪烁现象下旋翼目标微动参数估计方法[J]. 系统工程与电子技术, 2022, 44(1): 54-63.
[5]	龚树凤, 龙伟军, 贲德, 潘明海. 组网雷达自适应模糊CFAR检测融合算法[J]. 系统工程与电子技术, 2022, 44(1): 100-107.
[6]	但波, 付哲泉, 高山, 简涛. 基于卷积神经网络的海面目标全极化高分辨距离像识别技术[J]. 系统工程与电子技术, 2022, 44(1): 108-116.
[7]	张良, 杨威, 李玮杰, 杨小琪, 刘永祥. 基于复数卷积-残差网络的雷达杂波幅度统计模型分类[J]. 系统工程与电子技术, 2021, 43(11): 3086-3097.
[8]	于伟强, 汪飞, 孙萍, 周建江, 陈军. 杂波背景下机载雷达信号参数的射频隐身优化[J]. 系统工程与电子技术, 2021, 43(11): 3194-3201.
[9]	孙萍, 汪飞, 窦山岳, 周建江, 陈军. 基于辐射能量缩减约束的双机雷达协同目标跟踪方法[J]. 系统工程与电子技术, 2021, 43(10): 2851-2859.
[10]	李锐洋, 霍伟博, 马巍, 程子扬. 基于逆高斯纹理分布的协方差矩阵估计方法[J]. 系统工程与电子技术, 2021, 43(9): 2470-2475.
[11]	陈一畅, 熊鑫, 王万田. 基于稀疏FrFT的窄带雷达目标架次识别方法[J]. 系统工程与电子技术, 2021, 43(8): 2129-2136.
[12]	肖宇, 邓正宏. 信杂噪比约束下基于互信息的雷达波形设计[J]. 系统工程与电子技术, 2021, 43(7): 1775-1780.
[13]	姜予名, 李景文, 孙兵. 单站直达波欺骗干扰检测与抑制的DPCA方法[J]. 系统工程与电子技术, 2021, 43(6): 1524-1532.
[14]	蒲涛, 童宁宁, 冯为可, 房亮, 高晓阳. 基于块稀疏矩阵恢复的MIMO雷达扩展目标高分辨成像算法[J]. 系统工程与电子技术, 2021, 43(3): 647-655.
[15]	王宁, 周明, 刘国庆, 杨予昊, 孙俊. 基于Chirp Z变换的海面目标帧间非相参积累技术[J]. 系统工程与电子技术, 2021, 43(2): 383-389.