The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Le problème de l’estimation du retard temporel en super-résolution des signaux stationnaires réels est abordé dans cet article. L'estimation du délai est d'abord convertie en un problème d'estimation de fréquence. Ensuite, un algorithme de type MUSIC est proposé pour estimer la fréquence ultérieure à partir des données d'une seule expérience, ce qui non seulement évite l'inadéquation du modèle mathématique, mais utilise également les avantages des méthodes basées sur le sous-espace. Les erreurs quadratiques moyennes (MSE) de l'estimation du retard temporel de la méthode de type MUSIC pour faire varier le rapport signal/bruit (SNR) et la séparation de deux composantes du signal reçu sont présentées pour illustrer qu'elles coïncident approximativement avec la limite de Cramer-Rao correspondante. (CRB). Enfin, la comparaison entre la méthode de type MUSIC et les autres méthodes conventionnelles est présentée pour montrer les avantages de la méthode proposée dans cet article.
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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},}
Copier
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 -