IEICE TRANSACTIONS on Fundamentals
Neural Network System for the Analysis of Transient Phenomena on Board the DEMETER Micro-Satellite
Summary :
In 2001, the DEMETER micro-satellite will be launched to perform Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions. Its main scientific objective is related to the investigation of the ionospheric perturbations due to the seismic and volcanic activity. A system allowing an onboard identification and characterization of spatially and temporally coherent structures associated with the measurement of one or several electromagnetic wave field components is used. It is based on neural networks. The choice and training of the neural network are done on the ground from available waveforms. The parameters of the neural network system are then transmitted to the satellite. This reconfiguration process can be repeated whenever necessary during the space mission. Details about the functioning and coding optimization for DSP implementation is presented. The first function of this system which will be performed on the satellite DEMETER is the real-time identification and characterization of whistler phenomena. An application to the analysis of such phenomena observed in data from the AUREOL-3 satellite is exposed.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.8 pp.1575-1581
- Publication Date
- 1999/08/25
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- Type of Manuscript
- Special Section PAPER (Special Section on Digital Signal Processing)
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Franck ELIE, Masashi HAYAKAWA, Michel PARROT, Jean-Louis PINÇON, Francois LEFEUVRE, "Neural Network System for the Analysis of Transient Phenomena on Board the DEMETER Micro-Satellite" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 8, pp. 1575-1581, August 1999, doi: .
Abstract: In 2001, the DEMETER micro-satellite will be launched to perform Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions. Its main scientific objective is related to the investigation of the ionospheric perturbations due to the seismic and volcanic activity. A system allowing an onboard identification and characterization of spatially and temporally coherent structures associated with the measurement of one or several electromagnetic wave field components is used. It is based on neural networks. The choice and training of the neural network are done on the ground from available waveforms. The parameters of the neural network system are then transmitted to the satellite. This reconfiguration process can be repeated whenever necessary during the space mission. Details about the functioning and coding optimization for DSP implementation is presented. The first function of this system which will be performed on the satellite DEMETER is the real-time identification and characterization of whistler phenomena. An application to the analysis of such phenomena observed in data from the AUREOL-3 satellite is exposed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_8_1575/_p
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@ARTICLE{e82-a_8_1575,
author={Franck ELIE, Masashi HAYAKAWA, Michel PARROT, Jean-Louis PINÇON, Francois LEFEUVRE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Neural Network System for the Analysis of Transient Phenomena on Board the DEMETER Micro-Satellite},
year={1999},
volume={E82-A},
number={8},
pages={1575-1581},
abstract={In 2001, the DEMETER micro-satellite will be launched to perform Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions. Its main scientific objective is related to the investigation of the ionospheric perturbations due to the seismic and volcanic activity. A system allowing an onboard identification and characterization of spatially and temporally coherent structures associated with the measurement of one or several electromagnetic wave field components is used. It is based on neural networks. The choice and training of the neural network are done on the ground from available waveforms. The parameters of the neural network system are then transmitted to the satellite. This reconfiguration process can be repeated whenever necessary during the space mission. Details about the functioning and coding optimization for DSP implementation is presented. The first function of this system which will be performed on the satellite DEMETER is the real-time identification and characterization of whistler phenomena. An application to the analysis of such phenomena observed in data from the AUREOL-3 satellite is exposed.},
keywords={},
doi={},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - Neural Network System for the Analysis of Transient Phenomena on Board the DEMETER Micro-Satellite
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1575
EP - 1581
AU - Franck ELIE
AU - Masashi HAYAKAWA
AU - Michel PARROT
AU - Jean-Louis PINÇON
AU - Francois LEFEUVRE
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1999
AB - In 2001, the DEMETER micro-satellite will be launched to perform Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions. Its main scientific objective is related to the investigation of the ionospheric perturbations due to the seismic and volcanic activity. A system allowing an onboard identification and characterization of spatially and temporally coherent structures associated with the measurement of one or several electromagnetic wave field components is used. It is based on neural networks. The choice and training of the neural network are done on the ground from available waveforms. The parameters of the neural network system are then transmitted to the satellite. This reconfiguration process can be repeated whenever necessary during the space mission. Details about the functioning and coding optimization for DSP implementation is presented. The first function of this system which will be performed on the satellite DEMETER is the real-time identification and characterization of whistler phenomena. An application to the analysis of such phenomena observed in data from the AUREOL-3 satellite is exposed.
ER -
English
