General Optimum Block Adaptative Ica For Signal Separation With Known Source Distributions


Block adaptation; ICA; Interference Suppression; Time-varying conditions


This paper presents a novel implementation of optimum block adaptative Independent Component Analysis (ICA) algorithm for signals with known source distributions, which is frequently a valid assumption in practice. The block algorithm calculates the optimum weight update based on a Taylor Series expansion. The technique imposes no requirement on the number of the sources and block length, and it is suitable for application in time-varying environment. The proposed method is simulated for interference rejection in wireless receivers, and the performance is compared with the well-known Fast-ICA algorithm. Simulation results indicate that the new algorithm outperforms Fast-ICA under dynamic conditions at no additional computational cost. For mobile cellular systems, this algorithm lends itself to practical application in the case of high user mobility, handoff and/or rapid changing channel conditions.

Publication Date


Publication Title

Proceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005

Number of Pages


Document Type

Article; Proceedings Paper

Personal Identifier


Socpus ID

33644550659 (Scopus)

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