A Blind Separation Method of PCMA Signals Based on MSGibbs Algorithm

Abstract

A blind separation method of PCMA signals with different symbol rates based on MS-Gibbs (multiple states Gibbs) algorithm is proposed. The prior probability of input symbol pair is calculated based on channel state and two input signal components, which is used to guide the update of symbol sequence. Simulation results show that the performance of the proposed algorithm is similar to that of DG-PSP algorithm, but the complexity of separation is greatly reduced through the proposed algorithm. Compared with no iteration in the 10−2 order of magnitude of BER (bit error rate), the proposed algorithm can obtain nearly 2dB SNR (signal-noise ratio) gain after 2 iterations. If the number of iterations is 4, the proposed algorithm can obtain nearly 4dB SNR (signal-noise ratio) gain.