The problem of the super-resolution time delay estimation of the real stationary signals is addressed in this paper. The time delay estimation is first converted into a frequency estimation problem. Then a MUSIC-type algorithm to estimate the subsequent frequency from the single-experiment data is proposed, which not only avoids the mathematical model mismatching but also utilizes the advantages of the subspace-based methods. The mean square errors (MSEs) of the time delay estimate of the MUSIC-type method for varying signal-to-noise (SNR) and separation of two received signal components are shown to illustrate that they approximately coincide with the corresponding Cramer-Rao bound (CRB). Finally, the comparison between the MUSIC-type method and the other conventional methods is presented to show the advantages of the proposed method in this paper.
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Feng-Xiang GE, Qun WAN, Jian YANG, Ying-Ning PENG, "A Super-Resolution Time Delay Estimation Based on the MUSIC-Type Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 12, pp. 2916-2923, December 2002, doi: .
Abstract: The problem of the super-resolution time delay estimation of the real stationary signals is addressed in this paper. The time delay estimation is first converted into a frequency estimation problem. Then a MUSIC-type algorithm to estimate the subsequent frequency from the single-experiment data is proposed, which not only avoids the mathematical model mismatching but also utilizes the advantages of the subspace-based methods. The mean square errors (MSEs) of the time delay estimate of the MUSIC-type method for varying signal-to-noise (SNR) and separation of two received signal components are shown to illustrate that they approximately coincide with the corresponding Cramer-Rao bound (CRB). Finally, the comparison between the MUSIC-type method and the other conventional methods is presented to show the advantages of the proposed method in this paper.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_12_2916/_p
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@ARTICLE{e85-b_12_2916,
author={Feng-Xiang GE, Qun WAN, Jian YANG, Ying-Ning PENG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Super-Resolution Time Delay Estimation Based on the MUSIC-Type Algorithm},
year={2002},
volume={E85-B},
number={12},
pages={2916-2923},
abstract={The problem of the super-resolution time delay estimation of the real stationary signals is addressed in this paper. The time delay estimation is first converted into a frequency estimation problem. Then a MUSIC-type algorithm to estimate the subsequent frequency from the single-experiment data is proposed, which not only avoids the mathematical model mismatching but also utilizes the advantages of the subspace-based methods. The mean square errors (MSEs) of the time delay estimate of the MUSIC-type method for varying signal-to-noise (SNR) and separation of two received signal components are shown to illustrate that they approximately coincide with the corresponding Cramer-Rao bound (CRB). Finally, the comparison between the MUSIC-type method and the other conventional methods is presented to show the advantages of the proposed method in this paper.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - A Super-Resolution Time Delay Estimation Based on the MUSIC-Type Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 2916
EP - 2923
AU - Feng-Xiang GE
AU - Qun WAN
AU - Jian YANG
AU - Ying-Ning PENG
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2002
AB - The problem of the super-resolution time delay estimation of the real stationary signals is addressed in this paper. The time delay estimation is first converted into a frequency estimation problem. Then a MUSIC-type algorithm to estimate the subsequent frequency from the single-experiment data is proposed, which not only avoids the mathematical model mismatching but also utilizes the advantages of the subspace-based methods. The mean square errors (MSEs) of the time delay estimate of the MUSIC-type method for varying signal-to-noise (SNR) and separation of two received signal components are shown to illustrate that they approximately coincide with the corresponding Cramer-Rao bound (CRB). Finally, the comparison between the MUSIC-type method and the other conventional methods is presented to show the advantages of the proposed method in this paper.
ER -