CONSISTENCY ANALYSIS OF A FREQUENCY DOMAIN SUBSPACE ALGORITHM FOR MULTI-COMPONENT HARMONIC RETRIEVAL
Paper in proceedings, 2004

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.

discrete Fourier transforms

frequency estimation

signal processing

frequency-domain analysis

harmonics

random noise

harmonic analysis

Author

Joakim Gunnarsson

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP '04, Montreal, Canada, MAY 17-21, 2004

Vol. 2 481-484

Subject Categories

Computer and Information Science

DOI

10.1109/ICASSP.2004.1326299

More information

Created

10/7/2017