Multiuser detection based on reduced complexity probabilistic data Association
Paper in proceedings, 2004

We consider a multiuser detector based on modelling the multiple-access interference (MAI) as a vector of Gaussian random variables. This approach leads to the probabilistic data association (PDA) multiuser detector, which outputs good approximations to marginal posterior-mode optimal decisions. A simplification to the PDA detector is suggested, leading to a soft interference cancellation scheme. In the large system limit, the bit error rate performance of this detector can be accurately predicted, and shown to be identical to the optimal detector.


Peng Hui Tan

Chalmers, Department of Computer Engineering

Lars K. Rasmussen

University of South Australia

IEEE International Symposium on Information Theory - Proceedings

21578095 (ISSN)

Subject Categories

Computer and Information Science



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