Application of Power Spectral Density on Estimation of the Number of Source Signals

Ning Li; Hai Ting Chen; Shao Peng Liu

doi:10.4028/www.scientific.net/AMM.328.604

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 328Application of Power Spectral Density on...

Application of Power Spectral Density on Estimation of the Number of Source Signals

Abstract:

Blind source separation and estimation of the number of sources usually demand that the number of sensors should be greater than or equal to that of the sources, which, however, is very difficult to satisfy for the complex systems. A new estimating method based on power spectral density (PSD) is presented. When the relation between the number of sensors and that of sources is unknown, the PSD matrix is first obtained by the ratio of PSD of the observation signals, and then the number of source signals can be estimated by clustering the column vectors of PSD matrix. The effectiveness of the proposed method is verified by theoretical analysis and experiments.

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Periodical:

Applied Mechanics and Materials (Volume 328)

Pages:

604-608

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.328.604

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Online since:

June 2013

Authors:

Ning Li, Hai Ting Chen, Shao Peng Liu

Keywords:

Blind Source Separation, Estimation of Number of Source Signals, Power Spectral Density

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