Algorithm for source recovery in underdetermined blind source separation based on plane pursuit

被引：2
|
作者：
Fu Weihong [1 ]
Wei Juan [1 ]
Liu Naian [1 ]
Chen Jiehu [2 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[2] China Elect Technol Grp Corp, Res Inst 10, Chengdu 610036, Sichuan, Peoples R China
来源：
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2018年 / 29卷 / 02期
基金：
中国国家自然科学基金;
关键词：
underdetermined blind source separation (UBSS); source recovery; greedy algorithm; plane pursuit; SPARSE REPRESENTATION; MATCHING PURSUIT; SIGNAL RECOVERY; RECONSTRUCTION; MODEL;
D O I：
10.21629/JSEE.2018.02.01
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to achieve accurate recovery signals under the underdetermined circumstance in a comparatively short time, an algorithm based on plane pursuit (PP) is proposed. The proposed algorithm selects the atoms according to the correlation between received signals and hyper planes, which are composed by column vectors of the mixing matrix, and uses these atoms to recover source signals. Simulation results demonstrate that the PP algorithm has low complexity and higher accuracy as compared with basic pursuit (BP), orthogonal matching pursuit (OMP), and adaptive sparsity matching pursuit (ASMP) algorithms.
引用
收藏
页码：223 / 228
页数：6
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