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

Volume

9

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

4445

Lastpage

4449

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647664

Filename

5647664