摘要
传统的多用户检测方法仅利用扩频码统计独立性,本文充分利用DS-CDMA信号中各用户扩频码的统计独立性和各用户信息数据序列的统计独立性,提出了基于独立分量分析和多用户检测的联合盲多用户检测法。仿真结果表明,该方法具有更好的检测性能、更强的抗多址干扰(MAI)和抗远近效应的能力。
Traditional multi-user detection （MUD） methods only make use of the independence of spread spectrum code. Based on the principle of the independent component analysis （ICA） and the DS-CDMA multi-user detection this paper proposes a joint blind multi-user detection method （ICA-MUD） , which fully makes use of the independence of spread spectrum code and the independence of data sequence. Simulation results show that this algorithm has better performance of detection, elimination of multiple access interference （ MAI）, and countermeasure for far-near effect.
出处
《微波学报》
CSCD
北大核心
2008年第5期82-85,共4页
Journal of Microwaves
基金
电科院预研基金(41101040102)
关键词
DS—CDMA
独立分量分析
盲多用户检测
联合检测
DS-CDMA, Independent component analysis, Blind multi-user detection, Joint detection
