Algorithm for source recovery in underdetermined blind source separation based on plane pursuit
Algorithm for source recovery in underdetermined blind source separation based on plane pursuit作者机构:State Key Lab of Integrated Service Networks Xidian University No.10 Research Institution China Electronics Technology Group Corporation
出 版 物:《Journal of Systems Engineering and Electronics》 (系统工程与电子技术(英文版))
年 卷 期:2018年第29卷第2期
页 面:223-228页
核心收录:
学科分类:0711[理学-系统科学] 070208[理学-无线电物理] 07[理学] 071102[理学-系统分析与集成] 0702[理学-物理学]
基 金:supported by the National Natural Science Foundation of China(61201134) the 111 Project(B08038)
主 题:underdetermined blind source separation(UBSS) source recovery greedy algorithm plane pursuit
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.