西安电子科技大学学报（自然科学版）2013，Vol.40Issue(2)：130-137,8.DOI:10.3969/j.issn.1001-2400.2013.02.021
一种基于数据矩阵重构的相干信源二维测向新方法
New method for estimating 2-D DOA in the coherent source environment based on data matrix reconstruction
摘要
Abstract
The performance of classical two dimensional (2-D) Direction-Of-Arrival (DOA) estimation algorithms degrade substantially in the presence of coherent environment. A new DOA matrix method— DOA matrix method based on data matrix reconstruction (DMR-DOAM) is proposed for 2-D DOA estimation in the coherent source environment. The proposed algorithm reconstructs two Toeplitz equivalent covariance matrices by using cross-correlation information among receiving data from arrays. Decorrelation and 2-D DOA estimation can be realized via the eigen-decomposition of the new DOA matrix. The algorithm can retain the advantages of the traditional DOA matrix method, such as automatical parameter alignment and no need of 2-D search spectrum peak. The equivalent covariance matrices only use the middle column of classical covariance matrices, so the calculation amount is reduced, and the algorithm can be realized easily. Furthermore, the paper analyzes the estimation performance and influencing factors of the proposed algorithm. Theoretical analyses and simulation results both show that the proposed algorithm is effective.关键词
阵列信号处理/波达方向/二维DOA估计/相干信号/Toeplitz矩阵/解相干/参数估计Key words
array signal processing/ direction of arrival/ 2-D DOA estimation/ coherent signals/ Toeplitz matrix/ decorrelation/ parameter estimation分类
信息技术与安全科学引用本文复制引用
王凌,李国林,刘坚强,毛维平..一种基于数据矩阵重构的相干信源二维测向新方法[J].西安电子科技大学学报（自然科学版）,2013,40(2):130-137,8.基金项目
国家自然科学基金资助项目(60902054) （60902054）
中国博士后科学基金资助项目(201003758,20090460114) （201003758,20090460114）
"泰山学者"建设工程专项经费资助项目 （）
