An MRC based over-determined blind source separation algorithm

This paper deals with the blind source separation (BSS) problem in the overdetermined case, i.e. the number of receive antennas is larger than that of sources. First, a method, which converts the over-determined BSS into complete BSS, is presented. Then a maximum ratio combining (MRC) based BSS algorithm (MRC-FastICA) is proposed. The proposed algorithm includes source separation, estimated signals classification and MRC of multiple estimated signals corresponding to a source signal. Theoretical analysis and simulation results show that the proposed algorithm can obtain diversity gain, and has better performance than traditional methods.