On the computational aspect of robust multiuser detection

We address the problem of multiuser signal detection in the presence of additive non-Gaussian noise, particularly the numerical procedure for solving m-equations. When the noise is modelled by the e-contaminated mixture, we show that an iteratively reweighted least squares (IRLS) technique can be readily used which offers a faster convergence than the conventional gradient approach. An alternative version of the IRLS algorithm which sacrifices optimality for computational efficiency is also introduced.