Single channel blind separation of oversampling communication signals based on ICA

A new method for blind separation of multiple communication signals received by a single sensor is presented in this paper. Based on the different rates and waveforms of communication signals, we employ oversampling and singular value decomposition (SVD) to turn a single demixing problem into the estimation problem of waveform and symbol that can be solved by conventional independent component analysis (ICA) algorithms. Simulation results demonstrate the effectiveness and superiority of the proposed algorithm.