Iterative multiuser receivers for CDMA channels: An EM-based approach

Maximum-likelihood detection for the multiuser code-division multiple-access (CDMA) channel is prohibitively complex. This paper considers new iterative multiuser receivers based on the expectation-maximization (EM) algorithm and related, more powerful ''space-alternating'' algorithms. The latter algorithms include the SAGE algorithm and a new ''missing parameter'' space-alternating algorithm that alternately updates individual parameter components or treats them as probabilistic missing data, Application of these EM-based algorithms to the problem of discrete parameter estimation (i.e., data detection) in the Gaussian multiple-access channel leads to a variety of convergent receiver structures that incorporate soft-decision feedback for interference cancellation and/or sequential updating of iterative bit estimates, Convergence and performance analyzes are based on well-known properties of the EM algorithm and on numerical simulation.