基于均匀面阵的相干信号源二维DOA估计新方法  

A New Two-dimensional DOA Estimation Algorithm for Coherent Signal Source Based on Uniform Plane Array

作　　者：曹冲[1,2] 徐熙平[1] 熊春生 王广龙[3] 齐硕[1] CAO Chong XU Xiping XIONG Chunsheng WANG Guanglong QI Shuo(School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022 Beijing Yan Chuang Da Science and Technology co., LTD, Beijing 100086 Lab of Nanotechnology and Micro-system, College of Mechanical Engineering, Shijiazhuang 050003)

机构地区：[1]长春理工大学光电工程学院,长春130022 [2]北京研创达科技有限公司,北京100086 [3]军械工程学院纳米技术与微系统实验室,石家庄050003

出　　处：《长春理工大学学报（自然科学版）》2017年第3期13-17,31,共6页Journal of Changchun University of Science and Technology(Natural Science Edition)

摘　　要：相干信号源的来波方向(Direction of Arrival,DOA)估计问题一直是阵列信号处理技术的一个研究热点。现实环境中的信号源多为相干的,针对此问题提出一种改进的相干信号源二维DOA估计算法。通过对接收信号协方差矩阵进行矩阵重构处理,将采样数据协方差矩阵的秩恢复到等于信号源的个数;对重构的协方差矩阵进行特征分解,构造出信号子空间矩阵和噪声子空间矩阵,将两个子空间矩阵联合构造出新的空间谱函数;基于新的空间谱函数进行二维谱峰搜索,即可估计出多个入射信号的二维DOA。使用计算机软件进行仿真验证,仿真结果表明了所提方法的有效性。The DOA estimation of coherent signal source has been a research hotspot in array signal processing technology. Because of the signal source always is coherent in the real environment,an improved two-dimensional DOA estimation algorithm for coherent signal source is proposed. Recovering the covariance matrix rank of the sampling data to be equal to the number of signal source, through reconstructing the covariance matrix of the received signal matrix.Constructing the signal subspace matrix and the noise subspace matrix based on the eigen decomposition of the reconstructed covariance matrix. A new space spectrum function is constructed by the signal subspace matrix and the noise subspace matrix. The two-dimensional DOA of the multiple incident signal source will be estimated, through the two-dimensional peak searching by using the new space spectrum function. The availability of the new space spectrum function is verified by using computer software for experiment simulation.

关 键 词：相干信号源 矩阵重构 阵列信号处理 均匀矩形阵列 二维DOA估计 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]