IEICE TRANSACTIONS on Fundamentals
On Linear Least Squares Approach for Phase Estimation of Real Sinusoidal Signals
Summary :
In this Letter, linear least squares (LLS) techniques for phase estimation of real sinusoidal signals with known or unknown amplitudes are studied. It is proved that the asymptotic performance of the LLS approach attains Cramér-Rao lower bound. For the case of a single tone, a novel LLS algorithm with unit-norm constraint is derived. Simulation results are also included for algorithm evaluation.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.12 pp.3654-3657
- Publication Date
- 2005/12/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.12.3654
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Keyword
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Hing-Cheung SO, "On Linear Least Squares Approach for Phase Estimation of Real Sinusoidal Signals" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 12, pp. 3654-3657, December 2005, doi: 10.1093/ietfec/e88-a.12.3654.
Abstract: In this Letter, linear least squares (LLS) techniques for phase estimation of real sinusoidal signals with known or unknown amplitudes are studied. It is proved that the asymptotic performance of the LLS approach attains Cramér-Rao lower bound. For the case of a single tone, a novel LLS algorithm with unit-norm constraint is derived. Simulation results are also included for algorithm evaluation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.12.3654/_p
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@ARTICLE{e88-a_12_3654,
author={Hing-Cheung SO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={On Linear Least Squares Approach for Phase Estimation of Real Sinusoidal Signals},
year={2005},
volume={E88-A},
number={12},
pages={3654-3657},
abstract={In this Letter, linear least squares (LLS) techniques for phase estimation of real sinusoidal signals with known or unknown amplitudes are studied. It is proved that the asymptotic performance of the LLS approach attains Cramér-Rao lower bound. For the case of a single tone, a novel LLS algorithm with unit-norm constraint is derived. Simulation results are also included for algorithm evaluation.},
keywords={},
doi={10.1093/ietfec/e88-a.12.3654},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - On Linear Least Squares Approach for Phase Estimation of Real Sinusoidal Signals
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3654
EP - 3657
AU - Hing-Cheung SO
PY - 2005
DO - 10.1093/ietfec/e88-a.12.3654
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2005
AB - In this Letter, linear least squares (LLS) techniques for phase estimation of real sinusoidal signals with known or unknown amplitudes are studied. It is proved that the asymptotic performance of the LLS approach attains Cramér-Rao lower bound. For the case of a single tone, a novel LLS algorithm with unit-norm constraint is derived. Simulation results are also included for algorithm evaluation.
ER -
English
