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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
L’heure d’arrivée (TOA) est une technologie de télémétrie de réseau cellulaire sans fil largement utilisée. Comment effectuer une estimation précise du TOA dans des environnements à trajets multiples et sans visibilité directe (NLOS), puis calculer avec précision l'emplacement des terminaux mobiles sont deux problèmes critiques dans la recherche en positionnement. L'identification NLOS peut être effectuée dans la partie mesure TOA et dans la partie calcul de position. Dans cet article, pour les deux étapes ci-dessus, deux schémas d'atténuation des erreurs NLOS sont proposés. Premièrement, une méthode de télémétrie TOA basée sur la théorie du clustering est proposée pour résoudre le problème de l'estimation du chemin en ligne de visée (LOS) dans les canaux multi-trajets. Nous modélisons la plage TOA comme un modèle de mélange gaussien et illustrons comment la LOS et la NLOS peuvent être mesurées et identifiées sur la base de méthodes bayésiennes non paramétriques lorsque l'environnement de transmission sans fil est inconnu. De plus, pour les canaux de propagation NLOS, cet article propose un estimateur de localisation utilisateur basé sur le critère maximum a posteriori. En combinaison avec le schéma d'estimation TOA et de calcul de localisation de l'utilisateur proposé dans cet article, la précision de positionnement du terminal est améliorée. Les expériences ont montré que les algorithmes de mesure et de localisation TOA présentés dans cet article présentent une bonne robustesse dans des environnements sans fil complexes.
Zhenyu ZHANG
Beihang University,China Academy of Telecommunications Technology
Shaoli KANG
Beihang University,China Academy of Telecommunications Technology
Bin REN
China Academy of Telecommunications Technology
Xiang ZHANG
China Academy of Telecommunications Technology
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Zhenyu ZHANG, Shaoli KANG, Bin REN, Xiang ZHANG, "Time of Arrival Ranging and Localization Algorithm in Multi-Path and Non-Line-of-Sight Environments in OFDM System" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 10, pp. 1366-1376, October 2021, doi: 10.1587/transcom.2020EBP3195.
Abstract: Time of arrival (TOA) is a widely used wireless cellular network ranging technology. How to perform accurate TOA estimation in multi-path and non-line-of-sight (NLOS) environments and then accurately calculating mobile terminal locations are two critical issues in positioning research. NLOS identification can be performed in the TOA measurement part and the position calculation part. In this paper, for the above two steps, two schemes for mitigating NLOS errors are proposed. First, a TOA ranging method based on clustering theory is proposed to solve the problem of line-of-sight (LOS) path estimation in multi-path channels. We model the TOA range as a Gaussian mixture model and illustrate how LOS and NLOS can be measured and identified based on non-parametric Bayesian methods when the wireless transmission environment is unknown. Moreover, for NLOS propagation channels, this paper proposes a user location estimator based on the maximum a posteriori criterion. Combined with the TOA estimation and user location computation scheme proposed in this paper, the terminal's positioning accuracy is improved. Experiments showed that the TOA measurement and localization algorithms presented in this paper have good robustness in complex wireless environments.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3195/_p
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@ARTICLE{e104-b_10_1366,
author={Zhenyu ZHANG, Shaoli KANG, Bin REN, Xiang ZHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Time of Arrival Ranging and Localization Algorithm in Multi-Path and Non-Line-of-Sight Environments in OFDM System},
year={2021},
volume={E104-B},
number={10},
pages={1366-1376},
abstract={Time of arrival (TOA) is a widely used wireless cellular network ranging technology. How to perform accurate TOA estimation in multi-path and non-line-of-sight (NLOS) environments and then accurately calculating mobile terminal locations are two critical issues in positioning research. NLOS identification can be performed in the TOA measurement part and the position calculation part. In this paper, for the above two steps, two schemes for mitigating NLOS errors are proposed. First, a TOA ranging method based on clustering theory is proposed to solve the problem of line-of-sight (LOS) path estimation in multi-path channels. We model the TOA range as a Gaussian mixture model and illustrate how LOS and NLOS can be measured and identified based on non-parametric Bayesian methods when the wireless transmission environment is unknown. Moreover, for NLOS propagation channels, this paper proposes a user location estimator based on the maximum a posteriori criterion. Combined with the TOA estimation and user location computation scheme proposed in this paper, the terminal's positioning accuracy is improved. Experiments showed that the TOA measurement and localization algorithms presented in this paper have good robustness in complex wireless environments.},
keywords={},
doi={10.1587/transcom.2020EBP3195},
ISSN={1745-1345},
month={October},}
Copier
TY - JOUR
TI - Time of Arrival Ranging and Localization Algorithm in Multi-Path and Non-Line-of-Sight Environments in OFDM System
T2 - IEICE TRANSACTIONS on Communications
SP - 1366
EP - 1376
AU - Zhenyu ZHANG
AU - Shaoli KANG
AU - Bin REN
AU - Xiang ZHANG
PY - 2021
DO - 10.1587/transcom.2020EBP3195
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2021
AB - Time of arrival (TOA) is a widely used wireless cellular network ranging technology. How to perform accurate TOA estimation in multi-path and non-line-of-sight (NLOS) environments and then accurately calculating mobile terminal locations are two critical issues in positioning research. NLOS identification can be performed in the TOA measurement part and the position calculation part. In this paper, for the above two steps, two schemes for mitigating NLOS errors are proposed. First, a TOA ranging method based on clustering theory is proposed to solve the problem of line-of-sight (LOS) path estimation in multi-path channels. We model the TOA range as a Gaussian mixture model and illustrate how LOS and NLOS can be measured and identified based on non-parametric Bayesian methods when the wireless transmission environment is unknown. Moreover, for NLOS propagation channels, this paper proposes a user location estimator based on the maximum a posteriori criterion. Combined with the TOA estimation and user location computation scheme proposed in this paper, the terminal's positioning accuracy is improved. Experiments showed that the TOA measurement and localization algorithms presented in this paper have good robustness in complex wireless environments.
ER -