Multi-user Detection of DS-CDMA Based on Noise-ICA
Independent component analysis (ICA) is a signal processing technique that aims to recover a set of unknown mutually independent source signals from their observed mixtures without knowledge of the mixing coefficients. Making use of the independence of the users information in code division multiple access (CDMA) communication system, ICA based technique reduces multiple access interference (MAI). For traditional ICA algorithms ignore noise, in this paper Noise-ICA algorithm is proposed for multi-user detection of direct sequence code division multiple access (DS-CDMA) signal and compared with Infomax-ICA algorithm and FastICA algorithm. The proposed algorithm takes advantage of negentropy estimation. In this paper bit error rate simulations of these algorithms has been given for different number of users, SNR and compared. The results show that the proposed algorithm is more effective compared with traditional algorithms and performs better at separating the source signals from the mixed CDMA signals with noise.
multi-user detection DS-CDMA independent component analysis infomax Noise-ICA
Liu Xiaozhi Han Ying
College of Information Science and Engineering Northeastern University Shenyang, China
国际会议
太原
英文
177-180
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）