Separation of narrowband digital communication signals: a maximum likelihood approach

We present a maximum likelihood (ML) approach for deconvolving a multi-input-multi-output (MIMO) non-dispersive system and recovering its inputs, from observation of its outputs. We apply this approach to the specific problem of separating several narrowband digital communication signals that share the same frequency band. A computationally efficient… (More)