Multi-user Detection of DS-CDMA Based on PSO-ICA
Particle swarm optimization (PSO) is one of the optimization techniques. Independent component analysis (ICA) is a statistical signal processing technology that can get higher-order statistical independent and non-Gaussian components. In this paper, an algorithm is proposed, which is used to reduce the multiple access interference (MAI) in the direct sequence code division multiple access (DSCDMA) systems. In order to solve the issues that the objective function falls into the local optimum, this paper utilizes the particle swarm optimization algorithm and the fast fixed-point algorithm (PSOICA) to improve the classical independent component analysis algorithm. The experimental results show that the PSO-ICA algorithm has the advantages of smaller bit error rate than the traditional algorithm. The PSO-ICA algorithm is more suitable for applications in the DS-CDMA system.
independent component analysis particle swarm optimization DS-CDMA multi-user detection
Liu Xiaozhi Feng Dawei Zhang Tianshuang
College of Information Science and Engineering Northeastern University Shenyang, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
2517-2520
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）