An Improved Direction-of-Arrival Estimation Method based on Sparse Reconstruction

被引：0

作者：

Han, Xuebing ^{[1
]}

Jiang, Zhaojun ^{[1
]}

机构：

[1] Air Force Airborne Acad, Guilin, Peoples R China

来源：

INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷

关键词：

DOA estimation; MSD-FOUCSS; model noise; sparse reconstruction; coherent sources;

D O I：

10.4028/www.scientific.net/AMM.263-266.135

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we account for efficient approach of direction-of-arrival estimation based on sparse reconstruction of sensor measurements with an overcomplete basis. MSD-FOCUSS (MMV Synchronous Descending FOCal Underdetermined System Solver) algorithm is developed against to sparse reconstruction in multiple-measurement-vectors (MMV) system where noise perturbations exist in both the measurements and sensing matrix. The paper shows how sparse-signal model of DOA estimation is established and MSD-FOCUSS is derived, then the simulation results illustrate the advantage of MSD-FOCUSS when it is used to solve the problem of DOA estimation.

引用

页码：135 / 138

页数：4

共 8 条

[1]

[Anonymous], FAST ALGORITHMS SPAR

[2] Sparse solutions to linear inverse problems with multiple measurement vectors [J].