电波科学学报2017，Vol.32Issue(2)：237-243,7.DOI:10.13443/j.cjors.2017021901
基于向量化的稀疏重构解相干算法
Sparse reconstruction decoherence algorithm based on vectorization
季正燕 1陈辉 1张佳佳1
作者信息
- 1. 空军预警学院 重点实验室, 武汉 430019
- 折叠
摘要
Abstract
In order to solve the coherent problem of orthogonally matched pursuit(OMP) algorithm in sparse reconstruction, an improved de-coherent method is proposed by using vectorized autocorrelation matrix.The improved method reconstructs the angle only by the vectorized one-dimensional vector, which can reduce the influence of the noise and realize the decoherence without knowing the number of the signal source.Compared with the classical OMP algorithm, the sparse reconstruction effect is better.Theoretical analysis and simulation results verify the good performance of the algorithm.关键词
正交匹配追踪算法/解相干/稀疏重构/矢量化/波达方向估计Key words
OMP algorithm/decoherence/sparse reconstruction/vectorized/direction of arrival分类
信息技术与安全科学引用本文复制引用
季正燕,陈辉,张佳佳..基于向量化的稀疏重构解相干算法[J].电波科学学报,2017,32(2):237-243,7.
