Blind Source Separation Based on the Array-Averaged Fractional Fourier Transform

摘要：

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.

关键词： Blind Source Separation Fractional Fourier Transform Time-Frequency Distribution

作者: Lu-ping Zhou Bing-rong Li Chun-feng Wang

作者单位: Academy of Physics and Electronic Engineering, Ludong University, Yantai, Shandong 264001, P. R. Chi 2. Dept. of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Dept. Of Automation, Tsinghua University, Beijing 100084, P. R. China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 671-673

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）