Single Channel Blind Separation of Cofrequency MPSK Signals

K. Liu, H. Li, X. Dai, and X. Xu (PRC)


blind signal separation; Bayesian filtering; Sequential Monte Carlo; importance sampling


A general model for the single channel blind signal processing of digital modulated signals is introduced, and a Sequential Monte Carlo (SMC) based blind separation algorithm is presented utilizing the differences of the parameters in the model. In this algorithm blind signal separation is converted into the joint estimation of unknown parameters and the symbols of the MPSK signals. The computer simulations show that the algorithm can effectively separate the single channel cofrequency MPSK signals.

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