A novel blind source separation method for single-channel signal

被引：43

作者：

Ma, Hong-Guang ^{[1
]}

Jiang, Qin-Bo ^{[1
]}

Liu, Zhi-Qiang ^{[1
]}

Liu, Gang ^{[1
]}

Ma, Zhi-Yuan ^{[1
]}

机构：

[1] Xian Res Inst High Technol, Xian 710025, Peoples R China

来源：

SIGNAL PROCESSING | 2010年 / 90卷 / 12期

关键词：

SSA; BSS; Nonstationary time-series segmentation; Hilbert-Huang transform (HHT); Phase space reconstruction; TIME; SPECTRUM;

D O I：

10.1016/j.sigpro.2010.05.029

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The blind separation of single-channel signal is one of the most important aspects in many fields. Our research is carried out to develop a blind separation method of single-channel signal, in which the singular spectrum analysis (SSA) and blind source separation (BSS) techniques are jointly used, i.e. the single-channel signal is firstly changed into pseudo-MIMO (multi-input and multi-output) mode, and then each source signal is separated via a fast BSS algorithm. A signal preprocessing procedure, which is mainly focused on testing the nonstationarity of single-channel signal, is conducted before the operations of mixed signal transform and separation. In this research, the approach of heuristic segmentation of a nonstationary time-series is proposed. Throughout the experiment, the effectiveness of the proposed method is validated with a data set taken from a digital wideband receiver in an outdoor test. Then, a comparison is made between the proposed method and the Hilbert-Huang transform (HHT)-based signal separation method. The advantage of the proposed method is exhibited. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：3232 / 3241

页数：10

共 23 条

[1] A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments [J].

Aichner, R ;

Buchner, H ;

Yan, F ;

Kellermann, W .

SIGNAL PROCESSING, 2006, 86 (06) :1260-1277

[2]

Alexandrov T., 2005, P 5 ST PET WORKSH SI, P45

[3]

[Anonymous], 2001, Independent Component Analysis- principles and practice

[4]

[Anonymous], 1994, Kernel smoothing

[5]

Bach F., 2005, NIPS, P65

[6] Scale invariance in the nonstationarity of human heart rate -: art. no. 168105 [J].

Bernaola-Galván, P ;

Ivanov, PC ;

Amaral, LAN ;

Stanley, HE .

PHYSICAL REVIEW LETTERS, 2001, 87 (16) :1-168105

[7]

Betz J.W., 2002, J NAVIGATION, V48, P227, DOI [10.1002/j.2161-4296.2001.tb00247.x, DOI 10.1002/J.2161-4296.2001.TB00247.X]

[8] Comparing time series using wavelet-based semblance analysis [J].

Cooper, G. R. J. ;

Cowan, D. R. .

COMPUTERS & GEOSCIENCES, 2008, 34 (02) :95-102

[9] Heuristic segmentation of a nonstationary time series [J].

Fukuda, K ;

Stanley, HE ;

Amaral, LAN .

PHYSICAL REVIEW E, 2004, 69 (02) :021108-1

[10]

Hayes M. H., 1996, Statistical digital signal processing and modeling

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