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On the Efficient Frequency Estimation of a Single Tone

Zhang, Zhuo ; Jakobsson, Andreas LU orcid ; Macleod, Malcolm D. and Chambers, Jonathon. A. (2005) 2005 IEEE/SP 13th Workshop on Statistical Signal Processing v 2005. p.225-228
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.
Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
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
host publication
IEEE Workshop on Statistical Signal Processing Proceedings ; 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts
volume
v 2005
pages
225 - 228
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2005 IEEE/SP 13th Workshop on Statistical Signal Processing
conference dates
2005-07-17 - 2005-07-20
external identifiers
  • scopus:33947175634
language
English
LU publication?
no
id
51b99e36-ec95-4d77-a69f-f36c19613bf8 (old id 1218703)
date added to LUP
2016-04-04 11:45:44
date last changed
2022-01-29 22:25:41
@inproceedings{51b99e36-ec95-4d77-a69f-f36c19613bf8,
  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.}},
  author       = {{Zhang, Zhuo and Jakobsson, Andreas and Macleod, Malcolm D. and Chambers, Jonathon. A.}},
  booktitle    = {{IEEE Workshop on Statistical Signal Processing Proceedings ; 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts}},
  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}},
  language     = {{eng}},
  pages        = {{225--228}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{On the Efficient Frequency Estimation of a Single Tone}},
  volume       = {{v 2005}},
  year         = {{2005}},
}