Research and Application of Noise Blind Mixed Signal On-line Separation Algorithm Based on ICA

ABSTRACT

Independent Component Analysis (ICA) is a kind of novel multi-dimensional statistical analysis method. Its characteristic is to recover the independent source signal components from the multi-channel observation signal. In this paper, based on the model of independent component analysis, the gradient style algorithm was used to separate the noise blind mixed electrical signal. In the application of gradient algorithm, in order to solve the compromise between convergence rate and stability performance of the natural gradient blind source separation algorithm, the variable step size natural gradient algorithm was adopted to complete the noise electrical signal on-line blind source separation simulation, which provides an effective method to realize the multi-sensor collection signal.

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