Blind source separation based on the array-averaged fractional Fourier transform

Authors:
Lu-Ping Zhou;Bing-Rong Li;Chun-Feng Wang
Affiliations:
Academy of Physics and Electronic Engineering, Ludong University, Yantai, Shandong, P. R. China;Dept. of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai, Shandong, P. R. China;Dept. of Automation, Tsinghua University, Beijing, P. R. China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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Abstract

In this paper, a novel blind source separation method based on the array-averaged Fractional Fourier Transform is proposed. This method can decrease the noise levels, and suppress the interactions of the source signals, which lead to better separation performance. Compared with the previous blind source separation techniques based on the time-frequency distributions, this proposed method produces little crossterms, and it does not require whitening, joint-diagonalization, and bilinear signal synthesis. The improved efficiency of the method is verified by the simulation.