Online Bayesian activity detection in DS/CDMA networks

Thanh Ngoc Bui, Vikram Krishnamurthy, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)371-375
Number of pages5
JournalIEEE Transactions on Signal Processing
Issue number1
StatePublished - Jan 1 2005

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


  • Activity detection
  • CDMA
  • Multiuser detection
  • Sequential probability ratio test


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