Title: A novel method for blind signal separation of single-channel and time-frequency overlapped multi-component signal

Authors: Lihui Pang; Bin Tang

Addresses: School of Electronic Engineer, University of Electronic Science and Technology of China, West Hi-Tech District, Chengdu, Sichuan, 611731, China ' School of Electronic Engineer, University of Electronic Science and Technology of China, West Hi-Tech District, Chengdu, Sichuan, 611731, China

Abstract: In this paper, a novel blind signal separation (BSS) method of single-input multi-output (SIMO) system is proposed based on the periodicity of independent components, which can separate time-frequency overlapped multi-component signal effectively. It adopts the technique of changing single-channel recordings vector into virtual multi-channel measurement matrix. Singular value decomposition (SVD) method is utilised to decompose the matrix. Singular value ratio (SVR) spectrum can be calculated by changing the virtual multi-channel measurement matrix. Combining SVR spectrum and the periodic characteristic of independent components, the independent components are isolated successfully. The source number can be estimated by the peak value of SVR spectrum. The simulation results demonstrate the effectiveness of the proposed algorithm in this paper and show the method can guarantee high separation accuracy in low signal-noise-ratio (SNR) environment.

Keywords: single-input multi-output; SIMO; singular value ratio; SVR; singular value decomposition; SVD; time-frequency overlapped; periodicity; blind signal separation; BSS; multi-component signals; simulation; signal-noise-ratio; SNR.

DOI: 10.1504/IJICT.2016.074838

International Journal of Information and Communication Technology, 2016 Vol.8 No.2/3, pp.123 - 139

Received: 31 Dec 2013
Accepted: 23 Feb 2014
Published online: 21 Feb 2016 *

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