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, 等. 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, et al. 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.

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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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