Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Adaptive algorithms and stochastic approximations
Adaptive algorithms and stochastic approximations
Acceleration of stochastic approximation by averaging
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Multiuser Detection
Wireless Personal Communications: An International Journal
Analysis of LMS-Newton adaptive filtering algorithms with variableconvergence factor
IEEE Transactions on Signal Processing
Adaptive step-size algorithms for blind interference suppression inDS/CDMA systems
IEEE Transactions on Signal Processing
Blind multiuser detection: a subspace approach
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Satellite UMTS/IMT2000 W-CDMA air interfaces
IEEE Communications Magazine
Blind adaptive multiuser detection for asynchronous dual-rate DS/CDMA systems
IEEE Journal on Selected Areas in Communications
Space-Time Blind Multiuser Detection for Multiuser DS-CDMA and Oversampled Systems
Wireless Personal Communications: An International Journal
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The problem of blind adaptive multiuser detection in multirateCDMA systems is considered. Indeed, since symboldetection in multirate CDMA systems requires periodicallytime-varying processing of the observables, classical LMS and RLSadaptive algorithms, which assume that the solution to be trackedis time-invariant or slowly time-varying, are not suited for blindadaptive multiuser detection in a multirate system. While a cyclicRLS algorithm has recently appeared in the literature, thispaper focuses on the development of LMS-based cyclic filteringalgorithms. In particular, cyclic versions of the standard LMSalgorithm, of the LMS algorithm with iterate averaging and of theLMS algorithm with adaptive step-size are derived. Interestingly,the last two algorithms are shown to exhibit a convergence speed close to thatof the cyclicRLS procedure, but with an order of magnitude lower computationalcomplexity.An adaptive procedure for the automatic selection ofthe algorithm periodicity is also presented, which is based on aminimum mean-output-energy criterion, and that obviates theneed for knowledge of the transmitted data-rates from theinterfering signals.Moreover, the case of known multipathfading channels is also examined. In particular, it is shown that theproposed cyclic LMS algorithms can be used to achieve RLS-likeperformance also in the presence of multipath distortion.Extensive computer simulation results, along with some analyticalconvergence results, confirmthat the proposed algorithms are effective and achieve very satisfactoryperformance.