IEEE Communications Letters · 2004 · 11 citations · 7 references
EngineeringCommunicationComputer ScienceChannel ManagementDigital CommunicationWireless CommunicationsChannel EstimationDigital Signal ProcessingKalman FilteringMultipath PropagationMultiple Access TechniquesSignal Detection TheoryAdaptive Kalman FilterAdaptive Multiple AccessCode Division Multiple AccessConvergence Rate AnalysisLeast Mean Squares FilteringMultipath FadingMultiuser CommunicationMultiuser Detection
An adaptive blind multiuser detection algorithm is proposed for asynchronous direct-sequence code-division multiple-access (DS-CDMA) systems based on a modified constrained Kalman filter over a multipath fading channel. This detector is shown to outperform the present least mean squares filter in bit-error-rate and convergence rate, and it is shown to have a better tracking capability under a dynamic environment where the number of users will change frequently with time.
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