基于阵列流型盲辨识的MIMO雷达二维DOD和二维DOA联合估计

doi:10.3969/j.issn.0372-2112.2018.09.032

电子学报 ›› 2018, Vol. 46 ›› Issue (9): 2270-2275.DOI: 10.3969/j.issn.0372-2112.2018.09.032

基于阵列流型盲辨识的MIMO雷达二维DOD和二维DOA联合估计

陈显舟¹, 杨旭¹, 方海¹, 白琳¹, 陈周²

1. 中国空间技术研究院西安分院, 陕西西安 710100;
2. 中国石油天然气管道工程有限公司, 河北廊坊 065000

收稿日期:2017-09-25 修回日期:2017-12-27 出版日期:2018-09-25
- 通讯作者:
- 陈显舟
- 作者简介:
- 杨旭男,1976年1月出生于河北省唐山市.现为中国空间技术研究院高级工程师,主要研究方向为电子侦察系统总体设计等;方海男,1983年11月出生于陕西省蓝田县.2014年毕业于中国空间技术研究院.现为工程师,主要研究方向为航天器通信技术等;白琳男,1982年1月出生于河北省石家庄市.2011年毕业于中国空间技术研究院.现为工程师,主要研究方向为盲信号处理等;陈周男,1982年7月出生于河北省廊坊市.2005年毕业于河北工业大学.主要研究方向为通信信号处理等.

2-D DOD and 2-D DOA Estimation in Bistatic MIMO Radar Based on Blind Identification of Array Manifold

CHEN Xian-zhou¹, YANG Xu¹, FANG Hai¹, BAI Lin¹, CHEN Zhou²

1.China Academy of Space Technology (Xi'an), Xi'an, Shaanxi 710100, China;
2.China Petroleum Pipeline Engineering Corporation, Langfang, Hebei 065000, China

Received:2017-09-25 Revised:2017-12-27 Online:2018-09-25 Published:2018-09-25
- Corresponding author:
- CHEN Xian-zhou

摘要/Abstract

摘要： MIMO（Multiple Input Multiple Output）雷达基于分集增益理念，使其相对于相控阵雷达，在目标探测、参数测量、多目标分辨及干扰识别和抑制等方面具有明显优势.目标角度估计是雷达目标参数测量的核心内容，也是雷达对空域目标进行定位和跟踪的前提.本文基于双L型阵列，提出了一种高精度低复杂度的双基地MIMO雷达二维离开角和二维到达角联合估计的新算法.通过对匹配滤波后的阵列接收数据进行子空间分解，实现了阵列流形矩阵的盲辨识，进而获得目标二维到达角和二维离开角的闭式解.所提算法估得的收发四维角（二维离开角和二维到达角）能够自动配对，与2-D ESPRIT（Two Dimensional Estimating Signal Parameters via Rotational Invariance Techniques）算法相比，运算复杂度约是其三分之一，角估计性能相当.仿真实验证明了所提算法以较低的运算复杂度，实现了对目标收发四维角的高精度联合估计.

关键词: 相控阵雷达, MIMO雷达, 目标探测, 参数测量, 二维离开角, 二维到达角, 双L型阵

Abstract: Based on the concept of diversity gain, MIMO (Multiple Input Multiple Output) radar has obvious advantages over phased array radar in target detection, parameter estimation, multi-target discrimination and interference identification and suppression. Angle estimation is the core of parameter estimation and also the prerequisite for radar to locate and track spatial targets. A high-resolution and low computational complexity 2-D DOD (Two Dimensional Direction-of-Departure) and 2-D DOA (Two Dimensional Direction-of-Arrival) estimation algorithm based on double L-shaped arrays for bistatic MIMO radar is presented. By performing the eigen-decomposition of the matched array data, the array manifold can be estimated. Furthermore, we can obtain the closed-form solution of the 2-D DOD and 2-D DOA. The proposed method has similar estimation performance with 2-D ESPRIT (Two Dimensional Estimating Signal Parameters via Rotational Invariance Techniques) and the computational complexity is about one third of it. The estimated 2-D DOD and 2-D DOA could be paired automatically. Numerical simulation results show that the proposed method achieves a high-precision four dimensional angle estimation with low computational complexity.

Key words: phased array radar, MIMO radar, target detection, parameter estimation, 2-D DOD, 2-D DOA, double L-shaped arrays

中图分类号:

TN958

陈显舟, 杨旭, 方海, 白琳, 陈周. 基于阵列流型盲辨识的MIMO雷达二维DOD和二维DOA联合估计[J]. 电子学报, 2018, 46(9): 2270-2275.

CHEN Xian-zhou, YANG Xu, FANG Hai, BAI Lin, CHEN Zhou. 2-D DOD and 2-D DOA Estimation in Bistatic MIMO Radar Based on Blind Identification of Array Manifold[J]. Acta Electronica Sinica, 2018, 46(9): 2270-2275.

参考文献

[1] J LI,P STOICA.MIMO Radar Signal Processing[M].Hoboken:NJ,J Wiley & Sons,2009.
[2] 陈浩文,黎湘,等.一种新兴的雷达体制——MIMO雷达[J].电子学报,2012,40(6):1190-1198. CHEN Hao-wen,LI Xiang,et al.A rising radar system-MIMO radar[J].Acta Electronica Sinica,2012,40(6):1190-1198.(in Chinese)
[3] CHEN J L,GU H,et al.Angle estimation using ESPRIT without pairing in MIMO radar[J].IEE Electronics Letters,2008,44(24):1422-1423.
[4] JIN M,LIAO G S.Joint DOD and DOA estimation for bistatic MIMO radar[J].Signal Processing,2009,89(2):244-251.
[5] ZHANG X F,XU L Y,et al.Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC[J].IEEE Communications Letters,2010,14(12):1161-1163.
[6] BENCHEIKH M L,WANG Y D,et al.Polynomial root finding technique for joint DOA DOD estimation in bistatic MIMO radar[J].Signal Processing,2010,90(9):2723-2730.
[7] BENCHEIKH M L,WANG Y D,et al.Joint DOD-DOA estimation using combined ESPRIT-MUSIC approach in MIMO radar[J].IEE Electronics Letters,2010,46:1081-1083.
[8] XIA T Q.Joint diagonalization based DOD and DOA estimation for bistatic MIMO radar[J].Signal Processing,2015,108:159-166.
[9] 许凌云,张小飞,等.双基地MIMO雷达四维角度和多普勒频率联合估计[J].电子与信息学报,2012,34(12):2942-2947. XU Ling-yun,ZHANG Xiao-fei,et al.Joint 4-D angle and doppler frequency estimation for bistatic MIMO radar[J].Journal of Electronics & Information Technology,2012,34(12):2942-2947.(in Chinese)
[10] CHEN C,ZHANG X F.A low-complexity joint 2D-DOD and 2D-DOA estimation algorithm for MIMO radar with arbitrary arrays[J].International Journal of Electronics,2012,100(10):1455-1469.
[11] LI J F,ZHANG X F.Closed-form blind 2D-DOD and 2D-DOA estimation for MIMO radar with arbitrary arrays[J].Wireless Personal Communications,2013,69:175-186.
[12] 王晓萌.L型阵列MIMO雷达多维角度估计方法研究[D].哈尔滨:哈尔滨工程大学,2014.
[13] XU L Y,ZHANG X F,et al.Joint doppler frequency,2D-DOD and 2D-DOA estimation for bistatic MIMO radar in spatial coloured noise[J].International Journal of Electronics,2015,102(6):1007-1021.
[14] XIA T Q.Joint diagonalization based 2D-DOD and 2D-DOA estimation for bistatic MIMO radar[J].Signal Processing,2015,116:7-12.
[15] 李建峰,张小飞.MIMO雷达嵌套平行阵下基于子空间的目标二维波达角估计[J].系统工程与电子技术,2017,39(3):522-528. LI Jian-feng,ZHANG Xiao-fei.Two dimensional direction of arrival estimation based on subspace for MIMO radar using nested parallel array[J].Systems Engineering and Electronics,2017,39(3):522-528.(in Chinese)
[16] 陈浩,王琼.双基地MIMO雷达多参数联合估计及目标三维定位[J].南京大学学报(自然科学),2017,53(3):434-440. CHEN Hao,WANG Qiong.Multiple parameter estimation and three-dimensional localization for bistatic MIMO radar[J].Journal of Nanjing University (Natural Sciences),2017,53(3):434-440.(in Chinese)
[17] 洪升,万显荣,等.基于单次快拍的双基地MIMO雷达多目标角度估计方法[J].电子与信息学报,2013,35(5):1149-1155. HONG Sheng,WAN Xian-rong,et al.An angle estimation method for multi-targets in bistatic MIMO radar with single snapshot[J].Journal of Electronics & Information Technology,2013,35(5):1149-1155.(in Chinese)
[18] 郑志东,袁红刚,等.运动双基地MIMO雷达参数估计的克拉美罗界[J].电子与信息学报,2014,36(11),2678-2683. ZHENG Zhi-dong,YUAN Hong-gang,et al.Cramer-Rao bounds for estimating parameter in the moving bistatic MIMO radar[J].Journal of Electronics & Information Technology,2014,36(11):2678-2683.(in Chinese)

基于阵列流型盲辨识的MIMO雷达二维DOD和二维DOA联合估计

2-D DOD and 2-D DOA Estimation in Bistatic MIMO Radar Based on Blind Identification of Array Manifold

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