自适应实时型复值混合信号盲分离算法研究

Abstract

Abstract: Because the covariance and pseudo-covariance of non-circular signals are nonzero diagonal matrixes,the contrast function is constructed via the property.A new adaptive real-time algorithm for complex mixed signals is proposed through complex grads deduction.This algorithm can separate any mixed complex-value signals including non-circular signals.Compared with the strong-uncorrelating transform algorithm,it has the real-time feature,simple structure and less error.Moreover,eigenvalues and singularvalue decomposition are unnecessary,especially when the spectral coefficients are the same,the complex mixed signal can be still separated.Simulation results prove the efficiency of the proposed algorithm.

CLC Number:

TN911.72

YANG Shen-yuan, ZHAO Li-quan, ZHANG Chao-zhu, JIA Yan-fei. Research on adaptive real-time blind separation algorithm of complex mixed signals[J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1018-1021.

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Research on adaptive real-time blind separation algorithm of complex mixed signals

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