In this paper, a new method for 2-D frequency estimation of multiple damped sinusoids in additive white Gaussian noise is proposed. The key idea is to combine the subspace-based technique and projection separation approach. The frequency parameters in the first dimension are estimated by the MUSIC-based method, and then a set of projection separation matrices are constructed by the estimated frequency parameters. In doing so, the frequency parameters in the second dimension can be separated by the constructed projection separation matrix. Finally, each frequency parameter in the second dimension is estimated by multiple 1-D MUSIC-based methods. The estimated frequency parameters in two dimensions are automatically paired. Computer simulations are included to compare the proposed algorithm with several existing methods.
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Longting HUANG, Yuntao WU, Hing Cheung SO, Yanduo ZHANG, "2-D Frequency Estimation of Multiple Damped Sinusoids Using Subspace and Projection Separation Approaches" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 9, pp. 1842-1846, September 2011, doi: 10.1587/transfun.E94.A.1842.
Abstract: In this paper, a new method for 2-D frequency estimation of multiple damped sinusoids in additive white Gaussian noise is proposed. The key idea is to combine the subspace-based technique and projection separation approach. The frequency parameters in the first dimension are estimated by the MUSIC-based method, and then a set of projection separation matrices are constructed by the estimated frequency parameters. In doing so, the frequency parameters in the second dimension can be separated by the constructed projection separation matrix. Finally, each frequency parameter in the second dimension is estimated by multiple 1-D MUSIC-based methods. The estimated frequency parameters in two dimensions are automatically paired. Computer simulations are included to compare the proposed algorithm with several existing methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.1842/_p
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@ARTICLE{e94-a_9_1842,
author={Longting HUANG, Yuntao WU, Hing Cheung SO, Yanduo ZHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={2-D Frequency Estimation of Multiple Damped Sinusoids Using Subspace and Projection Separation Approaches},
year={2011},
volume={E94-A},
number={9},
pages={1842-1846},
abstract={In this paper, a new method for 2-D frequency estimation of multiple damped sinusoids in additive white Gaussian noise is proposed. The key idea is to combine the subspace-based technique and projection separation approach. The frequency parameters in the first dimension are estimated by the MUSIC-based method, and then a set of projection separation matrices are constructed by the estimated frequency parameters. In doing so, the frequency parameters in the second dimension can be separated by the constructed projection separation matrix. Finally, each frequency parameter in the second dimension is estimated by multiple 1-D MUSIC-based methods. The estimated frequency parameters in two dimensions are automatically paired. Computer simulations are included to compare the proposed algorithm with several existing methods.},
keywords={},
doi={10.1587/transfun.E94.A.1842},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - 2-D Frequency Estimation of Multiple Damped Sinusoids Using Subspace and Projection Separation Approaches
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1842
EP - 1846
AU - Longting HUANG
AU - Yuntao WU
AU - Hing Cheung SO
AU - Yanduo ZHANG
PY - 2011
DO - 10.1587/transfun.E94.A.1842
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2011
AB - In this paper, a new method for 2-D frequency estimation of multiple damped sinusoids in additive white Gaussian noise is proposed. The key idea is to combine the subspace-based technique and projection separation approach. The frequency parameters in the first dimension are estimated by the MUSIC-based method, and then a set of projection separation matrices are constructed by the estimated frequency parameters. In doing so, the frequency parameters in the second dimension can be separated by the constructed projection separation matrix. Finally, each frequency parameter in the second dimension is estimated by multiple 1-D MUSIC-based methods. The estimated frequency parameters in two dimensions are automatically paired. Computer simulations are included to compare the proposed algorithm with several existing methods.
ER -