Online Bayesian activity detection in DS/CDMA networks

An on-line Bayesian based multiple hypotheses Shiryayev sequential probability ratio test (SSPRT) for the detection/isolation of new active users in a multiuser code division multiple access (CDMA) environment is presented. This SSPRT algorithm makes use of a priori knowledge of the user activity parameter. Comparison by simulation between this SSPRT algorithm and the non-Bayesian Matrix cumulative sum (CUSUM) shows that when such information is available, the SSPRT algorithm that uses this information can achieve better performance than the non-Bayesian approach.