Semiblind linear multiuser interference cancellation: a maximum likelihood approach

Abstract

This paper introduces a linear interference suppression algorithm based on the maximum likelihood principle. The method is termed semiblind because it simultaneously exploits the transmission of training sequences and the statistics of the unknown transmitted symbols. We propose both iterative and adaptive implementations of the receiver using the expectation maximization algorithm and the matrix inversion lemma, respectively. Computer simulations show that the resulting multiuser receivers attain practically the same performance as the linear minimum mean square error multiuser detector.