IEICE TRANSACTIONS on Communications
A New High-Resolution Frequency Estimator Based on Pole-Placement AR Model
Summary :
The high-resolution frequency estimators most commonly used, such as Least Square (LS) method based on AR model, MVSE, MUSIC and ESPRIT, determine estimates of the sinusoidal frequencies from the sample noise-corrupted data. In this paper, a new frequency estimation method named Pole-Placement Least Square (PPLS) is presented, which is a modified LS method with a certain number of model poles restricted to the unit circle. The statistical performance of PPLS is studied numerically, and compared with the Cramer-Rao bound as well as the statistical performance corresponding to the LS methods. PPLS is shown to have higher resolution than the conventional LS method. The relationship between poles location and its resolution is also discussed in detail.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E86-B No.8 pp.2503-2507
- Publication Date
- 2003/08/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Fundamental Theories
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Huadong MENG, Xiqin WANG, Hao ZHANG, Yingning PENG, "A New High-Resolution Frequency Estimator Based on Pole-Placement AR Model" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 8, pp. 2503-2507, August 2003, doi: .
Abstract: The high-resolution frequency estimators most commonly used, such as Least Square (LS) method based on AR model, MVSE, MUSIC and ESPRIT, determine estimates of the sinusoidal frequencies from the sample noise-corrupted data. In this paper, a new frequency estimation method named Pole-Placement Least Square (PPLS) is presented, which is a modified LS method with a certain number of model poles restricted to the unit circle. The statistical performance of PPLS is studied numerically, and compared with the Cramer-Rao bound as well as the statistical performance corresponding to the LS methods. PPLS is shown to have higher resolution than the conventional LS method. The relationship between poles location and its resolution is also discussed in detail.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_8_2503/_p
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@ARTICLE{e86-b_8_2503,
author={Huadong MENG, Xiqin WANG, Hao ZHANG, Yingning PENG, },
journal={IEICE TRANSACTIONS on Communications},
title={A New High-Resolution Frequency Estimator Based on Pole-Placement AR Model},
year={2003},
volume={E86-B},
number={8},
pages={2503-2507},
abstract={The high-resolution frequency estimators most commonly used, such as Least Square (LS) method based on AR model, MVSE, MUSIC and ESPRIT, determine estimates of the sinusoidal frequencies from the sample noise-corrupted data. In this paper, a new frequency estimation method named Pole-Placement Least Square (PPLS) is presented, which is a modified LS method with a certain number of model poles restricted to the unit circle. The statistical performance of PPLS is studied numerically, and compared with the Cramer-Rao bound as well as the statistical performance corresponding to the LS methods. PPLS is shown to have higher resolution than the conventional LS method. The relationship between poles location and its resolution is also discussed in detail.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - A New High-Resolution Frequency Estimator Based on Pole-Placement AR Model
T2 - IEICE TRANSACTIONS on Communications
SP - 2503
EP - 2507
AU - Huadong MENG
AU - Xiqin WANG
AU - Hao ZHANG
AU - Yingning PENG
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2003
AB - The high-resolution frequency estimators most commonly used, such as Least Square (LS) method based on AR model, MVSE, MUSIC and ESPRIT, determine estimates of the sinusoidal frequencies from the sample noise-corrupted data. In this paper, a new frequency estimation method named Pole-Placement Least Square (PPLS) is presented, which is a modified LS method with a certain number of model poles restricted to the unit circle. The statistical performance of PPLS is studied numerically, and compared with the Cramer-Rao bound as well as the statistical performance corresponding to the LS methods. PPLS is shown to have higher resolution than the conventional LS method. The relationship between poles location and its resolution is also discussed in detail.
ER -
English
