论文信息 - Electrical Power System Harmonic Analysis Using Adaptive BSS Algorithm

Electrical Power System Harmonic Analysis Using Adaptive BSS Algorithm

This paper used the gradient blind signal separation algorithm to carry out the electrical power system harmonic signal analysis through the simulation experiment. The experiment result proved that the electrical power system harmonic signal separation based on the gradient algorithm is accurate. Through comparing the separation performance by using the different step size, the adaptive changing step size natural gradient blind separation algorithm for the electrical power system harmonic signal blind source separation can effectively separate each frequency harmonic component of the observation blind mixed signal. This paper mainly analyzed the algorithm performance of convergence speed and steady state error under the selection of different step size. Copyright © 2013 IFSA.

Chen Yu | Liu Yueliang

[1] Terrence J. Sejnowski,et al. Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources , 1999, Neural Computation.

[2] Jean-François Cardoso,et al. Equivariant adaptive source separation , 1996, IEEE Trans. Signal Process..

[3] J. Cardoso,et al. Blind beamforming for non-gaussian signals , 1993 .

[4] Christian Jutten,et al. A general approach for mutual information minimization and its application to blind source separation , 2005, Signal Process..

[5] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .

[6] Yang Baojun,et al. Overview on variable step size techniques for on-line blind source separation , 2007 .