Evaluation of various FFT methods for single tone detection and frequency estimation

Author

Chan, Y.T. ; Ma, Q. ; So, H.C. ; Inkol, R.

Author_Institution

Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada

Volume

1

fYear

1997

fDate

25-28 May 1997

Firstpage

211

Abstract

The periodogram, implemented using the fast Fourier transform (FFT), is widely used for the detection and frequency measurement of single tones. This paper evaluates the detection and frequency estimation performance of the periodogram and its variants, such as the Welch and Bartlett methods and the polyphase-FFT. Performance results for the detection and frequency estimation performance of the periodogram and its variants are presented and compared. The standard periodogram generally gives the best detection performance and the minimum mean square frequency error for a fixed length of signal data. However, if the FFT length is fixed the Welch method gives the best performance

Keywords

fast Fourier transforms; frequency estimation; signal detection; white noise; Bartlett method; FFT methods; Welch method; additive white noise; fast Fourier transform; frequency estimation; minimum mean square frequency error; periodogram; polyphase-FFT; single tone detection; Educational institutions; Fast Fourier transforms; Frequency estimation; Frequency measurement; Military computing; Phase detection; Phase frequency detector; Radar detection; Signal detection; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on

Conference_Location

St. Johns, Nfld.

ISSN

0840-7789

Print_ISBN

0-7803-3716-6

Type

conf

DOI

10.1109/CCECE.1997.614827

Filename

614827