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Communication dans un congrès

Filter de-noising method using long short-term memory

Ngoc Tan Truong Ali Khenchaf 1 Fabrice Comblet 1 Franck Pierre 2 Jean-Marc Champeyroux 2 Olivier Reichert 2
1 Lab-STICC_ENSTAB_MOM_PIM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : GNSS brings more signals and more satellites to improve positioning services. This paper introduces data fusion from multiple Global Navigation Satellite System (GNSS) constellations. In fact, some failures in satellite's signals negatively impact the quality of positioning. For this purpose, this paper presents the robust Extended Kalman Filter (robust-EKF) to eliminate the outliers and de-noising method based on the Long Short-Term Memory (LSTM). The algorithms are tested using GPS, Galileo and GLONASS data corresponding to base station ABMF in Guadeloupe. Robust combination of GPS, Galileo, and GLONASS data improve the position accuracy from 41.0% to 95.0% compared to the use of independent systems and by about 84.0% compared to the non-robust combination of GPS, Galileo, and GLONASS data. In particular, the position precision improves significantly using the method LSTM-EKF by about 74.0% compared to the robust-EKF.
Type de document :
Communication dans un congrès
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https://hal-ensta-bretagne.archives-ouvertes.fr/hal-03151912
Contributeur : Marie Briec <>
Soumis le : jeudi 25 février 2021 - 10:26:51
Dernière modification le : mardi 13 avril 2021 - 17:42:03

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  • HAL Id : hal-03151912, version 1

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Ngoc Tan Truong, Ali Khenchaf, Fabrice Comblet, Franck Pierre, Jean-Marc Champeyroux, et al.. Filter de-noising method using long short-term memory. 2020 European Navigation Conference, ENC 2020, Nov 2020, Dresden, Germany. pp.9317471. ⟨hal-03151912⟩

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