Multiuser detection with an unknown number of users

This correspondence studies the problem of separating a signal of interest from co-channel interference for the situation when the number of co-channel users and their channels are unknown. We devise a novel approach to this problem based on a trained statistical mixture model. Numerical results illustrate that the new method can outperform conventional training-based multiuser detection.