Geometric Source Separation Method Using Nonnegative Matrix Factorization and Interference Suppression

Abstract

In this paper, a geometric source separation system using nonnegative matrix factorization (NMF) is proposed. The adaptive beamformer is the best method for geometric source separation, but it suffers from a “target signal cancellation” problem in multi-path situations. We modified the HALS-NMF algorithm for decomposition into bases, and developed an interference suppression module in order to cancel the interference bases. A performance comparison between the proposed and subband GSC-RLS algorithm using a MATLAB^® simulation was executed; the results show that the proposed system is robust in multi-path situations.