Online Bayesian activity detection in DS/CDMA networks

TitleOnline Bayesian activity detection in DS/CDMA networks
Publication TypeJournal Article
Year of Publication2005
AuthorsBui, T. N., V. Krishnamurthy, and H. V. Poor
JournalSignal Processing, IEEE Transactions on
Volume53
Pagination371 - 375
Date Publishedjan.
ISSN1053-587X
Keywordsa priori knowledge, Bayes methods, code division multiple access, DS-CDMA network, matrix algebra, multiple hypotheses Shiryayev sequential probability ratio test, multiuser code division multiple access, multiuser detection, nonBayesian matrix cumulative sum, online Bayesian activity detection, probability, spread spectrum communication
Abstract

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.

URLhttp://dx.doi.org/10.1109/TSP.2004.838944
DOI10.1109/TSP.2004.838944

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