Title :
Source number estimation in single channel blind source separation
Author :
Luan, Haiyan ; Jiang, Hua ; Liu, Xiaobao
Author_Institution :
Res. Center, China Nat. Digital Switching, Syst. Eng. & Technol., Zhengzhou, China
Abstract :
The paper proposed a new algorithm to estimate source number based on cyclic spectrum and curve clustering. The cyclic amplitude spectrum expressions of common digital communication signals are analyzed. And the vanishing characteristics of the interference in the estimation of cyclic correlation using finite observations are derived. Then the estimation algorithm based on cyclic amplitude spectrum curve clustering is proposed, and its suitable conditions are given. Finally several simulations are carried out, which show the efficiency and feasibility of this algorithm.
Keywords :
blind source separation; pattern clustering; cyclic amplitude spectrum curve clustering; cyclic correlation; digital communication signals; finite observations; single channel blind source separation; source number estimation; Clustering algorithms; Correlation; Estimation; Frequency domain analysis; Interference; Signal processing algorithms; Source separation; curve clustering; cyclic amplitude spectrum; digital communication signals; single channel BSS; source number estimation; vanishing characteristics;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647664
