基于稀疏分解的非相干分布式信号源DOA估计
A sparse decomposition perspective for incoherently distributed source localization
姚晖 1吴瑛1
作者信息
- 1. 信息工程大学信息工程学院,河南郑州450002
- 折叠
摘要
论文提出了一种基于稀疏分解的非相干分布源的DOA估计算法.根据非相干分布源协方差矩阵的结构特点,提取协方差矩阵的相位信息并对其进行重构.然后对重构矩阵向量化,建立稀疏表示模型进行分布源DOA估计.该算法无需已知角功率密度函数,受快拍数影响较小,在信噪比与角度扩展较大时具有较好地DOA估计精度,并且具有较高地分辨能力.计算机仿真验证了算法的性能.
Abstract
The paper propose a novel direction of arrival estimation algorithm for incoherently distributed source,which exploits sparse decomposition perspective on the basis of the sparse characteristic of space signals.According to the characteristics of covariance matrix structure,the phase information matrix extracted from covariance matrix is rebuilt.Vectorizing the phase information matrix,the direction of arrival is obtained based on the sparse decomposition model.Compared with earlier algorithms,the proposed method has better estimation accuracy and resolution without the need of knowing angular power density,and it has a better robust performance in snapshot deficient scenario.Numerical examples illustrate the performance of the method.
关键词
信号处理/波达方向/非相干分布源/稀疏分解Key words
signal processing/direction of arrival/incoherently distributed source/sparse decomposition引用本文复制引用
出版年
2013
NETL
NSTL
维普
万方数据