航空学报 > 2013, Vol. 34 Issue (8): 1953-1959   doi: 10.7527/S1000-6893.2013.0258

非圆实信号MIMO雷达中基于实值ESPRIT的角度估计

胡彤, 张弓, 李建峰, 张小飞, 贲德   

  1. 南京航空航天大学 电子信息工程学院, 江苏 南京 210016
  • 收稿日期:2012-10-30 修回日期:2013-05-12 出版日期:2013-08-25 发布日期:2013-05-23
  • 通讯作者: 张弓 E-mail:gzhang@nuaa.edu.cn
  • 作者简介:胡彤 女,硕士研究生。主要研究方向:雷达信号处理,雷达系统研究。E-mail:jsnjht@gmail.com;张弓 男,博士,教授。主要研究方向:新体制雷达,雷达信号处理,SAR图像处理。E-mail:gzhang@nuaa.edu.cn; Tel:025-84892840;李建峰 男,博士研究生。主要研究方向:阵列信号处理,雷达信号处理。E-mail:lijianfengtin@126.com;张小飞 男,博士,教授。主要研究方向:通信信号处理,阵列信号处理,雷达信号处理。E-mail:zhangxiaofei@nuaa.edu.cn;贲德 男,教授,中国工程院院士。主要研究方向:雷达系统设计开发,雷达信号处理。
  • 基金资助:

    国家自然科学基金(61071163,61071164,61271327);江苏高校优势学科建设工程资助项目

Angle Estimation in MIMO Radar with Non-circular Signals Based on Real-valued ESPRIT

HU Tong, ZHANG Gong, LI Jianfeng, ZHANG Xiaofei, BEN De   

  1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2012-10-30 Revised:2013-05-12 Online:2013-08-25 Published:2013-05-23
  • Supported by:

    National Natural Science Foundation of China (61071163, 61071164, 61271327);A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要:

研究单基地多输入多输出(MIMO)雷达中的波达角(DOA)估计问题,提出了一种基于非圆(NC)实信号的实值旋转不变性信号参数估计(ESPRIT)算法。首先对接收信号进行降维变换,降低运算复杂度;之后根据非圆实信号特性构造中心Hermitian对称矩阵,通过酉(Unitary)变换将复数运算转为实数,进一步降低复杂度;最后根据ESPRIT得到角度估计。该算法无需谱峰搜索,运算复杂度较NC ESPRIT和Unitary ESPRIT大大降低,且该算法的角度估计性能优于后两种算法。论文分析了所提算法的复杂度,并推导了克拉美-罗界(CRB)。仿真结果验证了该算法的有效性。

关键词: 多输入多输出雷达, 非圆实信号, 角度估计, ESPRIT, 克拉美-罗界

Abstract:

In this paper, the direction of arrival (DOA) estimation in a monostatic multiple-input multiple-output (MIMO) radar is studied, and a real-valued estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm for the estimation based on non-circular (NC) signals is proposed. Through a reduced-dimensional transformation, the received data is transformed to be low-dimensional, which lead to lower complexity. Thereafter, a center-Hermitian matrix is constructed based on the characteristics of the NC real-valued signals. Then a unitary matrix is used to transform the complex computations into real-valued ones, thus further reducing the complexity. Finally, ESPRIT is employed to estimate the angles. The proposed algorithm requires no peak searching, and has lower complexity but better angle estimation performance than the NC ESPRIT and Unitary ESPRIT. The complexity of the algorithm is analyzed, and the Cramer-Rao bound (CRB) for the angle estimation in MIMO radar is derived. In the simulation, these algorithms are compared, which verifies the effectiveness of our algorithm.

Key words: multiple-input multiple-output radar, non-circular signal, angle estimation, ESPRIT, Cramer-Rao bound

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