Robust blind multiuser detection based on worst-case MMSE performance optimization

We propose a new blind multiuser receiver which is robust against the effects of erroneously presumed desired user signature and short data length. Our approach is based on the explicit modeling of possible mismatches in the mean-square error cost function and worst-case performance optimization. We show that this approach leads to a multiuser receiver which uses the data covariance matrix with an adaptive diagonal loading. Simulation results show performance improvements achieved by our approach relative to existing techniques.