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CONSISTENCY ANALYSIS OF A FREQUENCY DOMAIN SUBSPACE ALGORITHM FOR MULTI-COMPONENT HARMONIC RETRIEVAL

Joakim Gunnarsson (Institutionen för signaler och system, Signalbehandling) ; Tomas McKelvey (Institutionen för signaler och system, Signalbehandling)
IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP '04, Montreal, Canada, MAY 17-21, 2004 Vol. 2 (2004), p. 481-484.
[Konferensbidrag, refereegranskat]

A new frequency domain algorithm for multi-component harmonic retrieval has been developed recently. The method is based on using discrete Fourier transform (DFT) data and enables the user to select frequency sub-bands within which the frequencies of the harmonics of interest are known to reside. The technique provides a very good attenuation of colored noise and other disturbances residing outside the frequency band of interest. The paper presents a consistency analysis of the subspace based estimation algorithm. The analysis provides sufficient conditions for consistency of the sinusoidal frequency estimates in terms of required number of DFT data. A small numerical example is also presented comparing the new approach with the well known ESPRIT method. The result clearly indicates that the method has a large potential.

Nyckelord: discrete Fourier transforms, frequency estimation, frequency-domain analysis , harmonic analysis, harmonics, random noise, signal processing



Denna post skapades 2006-08-25. Senast ändrad 2014-09-02.
CPL Pubid: 15243

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)

Ämnesområden

Information Technology

Chalmers infrastruktur