Volume 8, Issue 4, August 2019, Page: 77-84
Constrained Blind Separation Algorithm Using Variable Step Size and Variable Momentum Factor
Liu Lu, School of Science and Technology for Opto-electronic Information, Yantai University, Yantai, China
Ou Shifeng, School of Science and Technology for Opto-electronic Information, Yantai University, Yantai, China
Gao Ying, School of Science and Technology for Opto-electronic Information, Yantai University, Yantai, China
Received: Nov. 18, 2019;       Published: Nov. 18, 2019
DOI: 10.11648/j.ijiis.20190804.12      View  26      Downloads  3
Abstract
The traditional blind separation algorithm is mainly for the instantaneous mixing problem in the stable environment. In the practical applications, blind separation often takes into account the interference of the external environment, which requires that the algorithm has strong tracking performance, but the traditional algorithm can’t meet the needs. Aiming at the problem of instantaneous blind separation in non-stationary environment, constrained blind separation algorithm using variable step size and variable momentum factor is proposed in this paper. Based on the nonholonomic natural gradient algorithm, the cost function is constrained by the disturbance of the hybrid system and the constraint factors take the form of self-adaptive adjustment. According to the separation situation, the constraint factors are adjusted adaptively to accelerate the convergence speed. The variable step size based on the cost function gradient is introduced to improve the tracking performance. By incorporating momentum term, the momentum factor is adaptively adjusted to make it have better separation performance. The simulation results show that compared with the traditional algorithm, the proposed algorithm can better balance the contradiction between convergence speed and steady-state error in non-stationary environment, and has better separation performance. In the case of obvious disturbance in the mixed system, the algorithm can effectively improve the shortcomings of the traditional algorithm. In summary, constrained blind separation algorithm using variable step size and variable momentum factor proposed in this paper is effective.
Keywords
Blind Separation, Non-stationary, Nonholonomic Natural Gradient, Adaptive, Momentum Factor
To cite this article
Liu Lu, Ou Shifeng, Gao Ying, Constrained Blind Separation Algorithm Using Variable Step Size and Variable Momentum Factor, International Journal of Intelligent Information Systems. Vol. 8, No. 4, 2019, pp. 77-84. doi: 10.11648/j.ijiis.20190804.12
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