Adaptive multiuser detection

An important thrust in research in multiuser detection is the design of adaptive detectors, which self-tune the detector parameters from the observation of the received waveform. The literature on this subject is surveyed in this tutorial paper. It contains background material used throughout the paper on the multiaccess channel model, optimum multiuser detection and the decorrelating detector. It deals with the MMSE linear multiuser detector and its adaptive implementations, and gives an overview of adaptive tentative-decision based detectors such as those that use successive cancellation and decision-feedback. Blind multiuser detection is discussed, and in particular, it presents a multiuser detector which is optimally near-far resistant and requires no more knowledge than the conventional single-user detector. Multiuser detection using learning neural networks is also examined