Title
Efficient Blind Signal Separation In Dynamic Environment Employing Novel Ica Technique
Keywords
Adaptive signal processing; Dynamic environment; ICA
Abstract
In this paper, a new efficient Independent Component Analysis (ICA) algorithm is proposed for Blind Source Separation (BSS) in dynamic environments. The algorithm is named ICA with Time-Varying Convergence Factor (ICA/TVCF). The gradient-based technique optimizes the convergence factor for each iteration during the adaptation process. By eliminating the matrix inversion operation in the weight update equation, the new algorithm is computationally highly efficient compared with the previously proposed ICA with Optimum Block Adaptation (OBA/ ICA), especially for high dimensional systems. Moreover, the new technique is applicable in the cases where the dimensionality of the system is larger than the processing block size. Computer simulations are performed for separating two BPSK signals in a diversity wireless receiver adopting ICA/TVCF. The results confirm the effectiveness and the advantages of ICA/TVCF over the well-known fast-ICA and online gradient ICA algorithms.
Publication Date
8-1-2006
Publication Title
WSEAS Transactions on Communications
Volume
5
Issue
8
Number of Pages
1303-1308
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
33746869622 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33746869622
STARS Citation
Yang, Thomas and Mikhael, Wasfy, "Efficient Blind Signal Separation In Dynamic Environment Employing Novel Ica Technique" (2006). Scopus Export 2000s. 8045.
https://stars.library.ucf.edu/scopus2000/8045