IEEE Transactions on Signal Processing · 2001 · 42 citations · 18 references
EngineeringComputer ScienceElectrical EngineeringDigital CommunicationInformation TheoryWireless CommunicationsChannel EstimationDigital Signal ProcessingMultipath PropagationSignal Detection TheorySpread Spectrum CommunicationWireless Channel ModelingAdaptive AlgorithmsDetectorsEstimation ErrorLinear PredictionMultipathMultipath Signal PropagationMultiuser DetectionSubspace-based Channel Estimation
We consider the blind multiuser detection problem for asynchronous DS-CDMA systems operating in a multipath environment. Using only the spreading code of the desired user, we first estimate the column vector subspace of the channel matrix by multiple linear prediction. Then, zero-forcing detectors and MMSE detectors with arbitrary delay can be obtained without explicit channel estimation. This avoids any channel estimation error, and the resulting methods are therefore more robust and more accurate. Corresponding batch algorithms and adaptive algorithms are developed. The new algorithms are extremely near-far resistant. Simulations demonstrate the effectiveness of these methods.
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