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On the Efficient Frequency Estimation of a Single Tone

Zhang, Zhuo; Jakobsson, Andreas LU ; Macleod, Malcolm D. and Chambers, Jonathon. A. (2005) 2005 IEEE/SP 13th Workshop on Statistical Signal Processing In IEEE Workshop on Statistical Signal Processing Proceedings ; 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts 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
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
in
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
external identifiers
  • Scopus:33947175634
language
English
LU publication?
no
id
51b99e36-ec95-4d77-a69f-f36c19613bf8 (old id 1218703)
date added to LUP
2008-10-06 13:45:06
date last changed
2017-02-19 04:31:31
@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},
  keyword      = {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},
}