Joint Bayesian the Number of Active Users Estimation and the Signatures Detection in DSCDMA System

摘要：

The estimation of the number of users and detection of the signatures in the unknown colored noise is considered. We exploit the Reversible Jump Markov Chain Monte Carlo (RJMCMC) method to solve the problem. Through introducing subspace algorithm and converting condition state spaces of the posterior distribution, the method based on Bayesian inference achieves the joint posterior probability density function of desired parameters by integrating out the nuisance. Simulation results support the effectiveness of the algorithm.

关键词： subspace MCMC active users signature

作者: Chen lianghui Hu hanying

作者单位: Dept. of Communication Engineering Information Engineering University Zhengzhou, China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）