电讯技术Issue(6)：791-795,5.DOI:10.3969/j.issn.1001-893x.2014.06.018
一种改进的基于多用户检测的独立分量分析算法
An Improved Independent Component Analysis Algorithm Based on Multiuser Detection
摘要
Abstract
A new independent component analysis ( ICA) method named MUD_FastICA is proposed to re-duce the computation complexity of FastICA algorithm. In the proposed method, multiuser detection (MUD) successive interference cancellation(MUD-SIC) is combined with one-unit FastICA to separate different independent components and reduce computation complexity. Analysis and simulation results show that, the MUD_FastICA can reduce the number of iteration and computation complexity obviously. Mean-while,the separation performance is approximately the same with that of traditional FastICA. In the case of 0 dB SNR and four source signals, number of iterations and computing units to separate the second ( third) signal are decreased by 14% (22%) and 37% (58%) respectively. Hence, it is more suitable for real-time communication system.关键词
多用户检测/独立分量分析/FastICA算法/串行干扰抵消/算法复杂度Key words
multiuser detection/ICA/FastICA algorithm/successive interference cancellation/computation complexity分类
信息技术与安全科学引用本文复制引用
穆昌,姚俊良..一种改进的基于多用户检测的独立分量分析算法[J].电讯技术,2014,(6):791-795,5.基金项目
国家自然科学基金资助项目(51275405)@@@@Foundation Item:The National Natural Science Foundation of China(No.51275405) （51275405）
