Error floor elimination for DFT-based frequency estimators

Luoyang Fang, Dongliang Duan, Liuqing Yang, Louis Scharf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Frequency estimation for a single-tone complex exponential signal is a classical and fundamental problem in many applications, such as communications, radar, and power. Most DFT-based frequency estimators reported in the literature exhibit an error floor at high SNR, due to their use of approximations to nonlinear equations. This effect is pronounced for short observation windows. In this paper, we propose two simple nonlinear equation solvers for eliminating this error floor. Simulations confirm the effectiveness of this proposed approach. We add to the literature of DFT-based estimators by proposing a frequency estimator for the case where a measured sequence is zero-padded by a factor of two.

Original languageEnglish (US)
Title of host publication2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Print)9780992862602
StatePublished - 2013
Externally publishedYes
Event2013 21st European Signal Processing Conference, EUSIPCO 2013 - Marrakech, Morocco
Duration: Sep 9 2013Sep 13 2013

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Other

Other2013 21st European Signal Processing Conference, EUSIPCO 2013
CountryMorocco
CityMarrakech
Period9/9/139/13/13

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  • Cite this

    Fang, L., Duan, D., Yang, L., & Scharf, L. (2013). Error floor elimination for DFT-based frequency estimators. In 2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013 [6811700] (European Signal Processing Conference). European Signal Processing Conference, EUSIPCO.