Title
Optimum Block Adaptive Algorithm For Gradient Based Independent Component Analysis(Oba/Ica) For Time Varying Wireless Channels
Keywords
Adaptive signal processing; Interference suppression; Time-varying channels
Abstract
The fixed-point Independent Component Analysis (ICA) algorithm is widely used because of its fast convergence under static conditions. However, in a highly dynamic environment, it lacks the ability to adapt to the time variation of the mixing matrix. This paper develops an Optimum Block Adaptation ICA algorithm (OBA/ICA) that is capable of tracking time variation. Simulation results for mobile telecommunication applications indicate that the resulting performance, particularly with respect to convergence properties, is superior to Fast-ICA under dynamic channel conditions.
Publication Date
1-1-2005
Publication Title
IEEE Vehicular Technology Conference
Volume
4
Number of Pages
2240-2243
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/VETECF.2005.1558946
Copyright Status
Unknown
Socpus ID
84931471493 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84931471493
STARS Citation
Mikhael, W. and Yang, T., "Optimum Block Adaptive Algorithm For Gradient Based Independent Component Analysis(Oba/Ica) For Time Varying Wireless Channels" (2005). Scopus Export 2000s. 4231.
https://stars.library.ucf.edu/scopus2000/4231