计算机工程与应用Issue(24)：210-213,4.DOI:10.3778/j.issn.1002-8331.1202-0570
消除噪声的ICA盲多用户检测
Independent Component Analysis based denoising for blind multiuser detector
摘要
Abstract
The noise signal is often neglected for Independent Component Analysis algorithms(ICA)for blind multiuser detection put forward;it leads the detection performance of Direct Sequence spread spectrum Code Division Multiple Address(DS-CDMA) system to decrease. The noise term is taken into account. The improved ICA for blind multiuser detector is proposed. The algorithm can not only suppress Near-Far Effects and Multi-Access Interference but also reduce the noise term neglected as far as possible by signal subspace and effective unbiased estimate, to gain the capacity of the system. Simulation results demonstrate that the proposed method is effective and practicable.关键词
盲多用户检测/独立分量分析/直接序列扩频码分多址(DS-CDMA)系统/罗克拉美下界Key words
blind multiuser detection/Independent Component Analysis(ICA)/Direct Sequence spread spectrum Code Division Multiple Address(DS-CDMA)systems/Cramer-Rao lower bound分类
信息技术与安全科学引用本文复制引用
白夏红,李辉,邢钢..消除噪声的ICA盲多用户检测[J].计算机工程与应用,2013,(24):210-213,4.基金项目
国家自然科学基金（No.61171155）；陕西省自然科学基金（No.2012JM8010）；西北工业大学研究生种子基金（No.z2012075）。 （）
