ON-LINE SEQUENTIAL MULTICHANNEL BLIND DECONVOLUTION: A DEFLATION APPROACH
Seungjin Choi · 2002
We present a simple but efficient and powerful extension of standard Bussgang-type blind equalization algorithms that is able to extract multiple source signals from their unknown convolutive mixtures. The extraction of source signals one by one using a deflation approach is proposed. A new adaptive deflation algorithm which can cancel the contribution of already extracted source signals, is derived. This approach can adopt any blind equalization algorithm (which can extract a single source). Furthermore, it can be also applied to the case when we do not know the number of source signals in advance. Extensive computer simulation results confirm the validity and high efficiency of our proposed method.