基于三阶累积量的盲两实信号分离方法

A. A. Kuchumov, N. Y. Liberovskiy, V. Priputin
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引用次数: 3

摘要

本文介绍了一种盲分离两实信号的方法。盲分离意味着除了接收到的样本外,没有关于信号的任何信息。这消除了在确定搅拌矩阵和恢复原始信号时存在的系统误差。本文将输出信号的二阶和三阶累积量降为零作为信号分离的判据。为了验证该方法的性能,建立了混频分离模型,并在接收信道中不同功率水平的本征噪声下测试了该方法的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind Two Real Signals Separation Method Based on Third Order Cumulants
This paper describes a blind two real signals separation method. Blind separation implies that there is no information about the signals except for received samples. This eliminates the presence of a systematic error in determining the stirring matrix and the restoration of the original signals. As a criterion for the separation of signals in this paper, the cumulants of the second and third orders of the output signals were reduced to zero. To test the performance of the method, mixing and separation model was created, and the efficiency of the method was tested at various power levels of the intrinsic noise in the receiving channels.
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