Adaptive Bayesian multiuser detection

@article{Wang2000AdaptiveBM,
  title={Adaptive Bayesian multiuser detection},
  author={Xiaodong Wang and Rong Chen},
  journal={2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)},
  year={2000},
  pages={273-}
}
We consider the problem of simultaneous parameter estimation and data restoration in a synchronous CDMA system. Bayesian inference of all unknown quantities is made from the superimposed and noisy received signals. The Gibbs sampler, a Markov Chain Monte Carlo procedure, is employed to calculate the Bayesian estimates. The basic idea is to generate ergodic random samples from the joint posterior distribution of all unknowns, and then to average the appropriate samples to obtain the estimates of… CONTINUE READING

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