Conference Proceeding

Adaptive step-size EASI algorithm based on separating degree

Electronic Engineering Institute of PLA, Hefei, 230037, China
12/2006; pp.1 - 4 In proceeding of: Wireless, Mobile and Multimedia Networks, 2006 IET International Conference on
Source: IEEE Xplore

ABSTRACT This paper focuses on the problem of adaptive blind source separation. After detailed analyzing relevant equivariant adaptive source separation via independence (EASI) algorithms, the paper presents a new adaptive step-size EASI algorithm using separating state as the controlling factor for the first time. Because the variability of the new algorithm's step-size is based on separating state, its learning ratio is chosen adaptively according to separating degree, therefore it can improve convergence speed and reduce the misadjustment error in the steady state simultaneously. Computer simulations confirm the theoretical analysis and show the algorithm performance is superior to other EASI algorithms.

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Keywords

adaptive blind source separation
 
adaptively
 
Computer simulations
 
controlling factor
 
convergence speed
 
EASI
 
EASI algorithms
 
new adaptive step-size EASI algorithm
 
new algorithm's step-size
 
relevant equivariant adaptive source separation