›› 2013, Vol. 26 ›› Issue (11): 39-.

• 论文 • 上一篇    下一篇

基于压缩感知的空域信号DOA估计

郭月强,陈建春,王永军   

  1. (西安电子科技大学 电子工程学院,陕西 西安 710071)
  • 出版日期:2013-11-15 发布日期:2013-11-19
  • 作者简介:郭月强(1985—),男,硕士。研究方向:信号处理。E-mail:yueqiang0001@126.com

Compressive Sensing Based Narrowband Signals DOA Estimation

GUO Yueqiang,CHEN Jianchun,WANG Yongjun   

  1. (School of Electronic Engineering,Xidian University,Xi'an 710071,China)
  • Online:2013-11-15 Published:2013-11-19

摘要:

研究了基于压缩感知的空域信号DOA估计问题。针对空域信号DOA算法采样数据量大,在低信噪比情况下估计结果较差的问题,文中提出一种基于奇异值分解的多矢量欠定系统聚焦求解算法(SVD-MFOCUSS)。该算法在一定程度上克服了稀疏重构算法在低信噪比情况下的缺陷,具有较低的运算复杂度。实验仿真验证了该算法性能优于传统的DOA估计算法,且能够对相干信号进行有效的DOA估计。

关键词: 波达方向, 压缩感知, 奇异值分解

Abstract:

The spatial signal DOA estimation problem is investigated based on compressive sensing in this paper.For the problem in DOA of spatial signals that the ordinarily algorithms need a large number of sampling and can't gain ideal effect in condition of low SNR.A multi-vectors focal undetermined system solver (MFOCUSS) DOA algorithm based on singular value decomposition in proposed in this paper.The algorithm overcomes the defect that sparse reconstruction algorithms cannot be used in a low SNR case,and has a lower computational complexity.Experimental simulations show that the presented algorithm in this paper performs better than traditional DOA algorithms for signals with any coherence.

Key words: direction of arrive;compressive sensing;singular value decomposition

中图分类号: 

  • TN911.6