On the Efficient Frequency Estimation of a Single Tone
(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:
https://lup.lub.lu.se/record/1218703
- author
- Zhang, Zhuo ; Jakobsson, Andreas LU ; Macleod, Malcolm D. and Chambers, Jonathon. A.
- publishing date
- 2005
- 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}}, }