On the Efficient Frequency Estimation of a Single Tone

Zhuo Zhang, Andreas Jakobsson, Malcolm D. Macleod, Jonathon. A. Chambers

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

The frequency estimation of a single tone corrupted by additive white Gaussian noise has received significant attention over the last decades due to its wide applicability in signal processing. In this paper, we propose a computationally fast and statistically improved hybrid single tone estimator which outperforms other recently proposed approaches, lowering the signal-to-noise ratio at which the Cramer-Rao lower bound is closely followed. Numerical simulations indicate that, in contrast to many other techniques, the performance of the hybrid estimator is essentially independent of the underlying frequency component. © 2005 IEEE.
Original languageEnglish
Title of host publicationIEEE Workshop on Statistical Signal Processing Proceedings ; 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages225-228
Volumev 2005
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Bordeaux
Duration: 2005 Jul 172005 Jul 20

Publication series

Name
Volumev 2005

Conference

Conference2005 IEEE/SP 13th Workshop on Statistical Signal Processing
Period2005/07/172005/07/20

Subject classification (UKÄ)

  • Probability Theory and Statistics

Free keywords

  • Computational methods
  • Cramer-Rao bounds
  • Gaussian noise (electronic)
  • Signal processing
  • Signal to noise ratio
  • White noise
  • White Gaussian noise
  • Single tone estimator
  • Hybrid estimator

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