An on-line Bayesian based multiple hypotheses detection algorithm is used in the detection/isolation of a new user in a multiuser CDMA environment. The algorithm makes use of user arrival rate information available at the system admission controller. Comparison by simulation between this algorithm and the Matrix CUSUM shows that, when such information is available, the new algorithm that incorporates this information can achieve better performance than the non-Bayesian approach.
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