| Paper Abstract and Keywords |
| Presentation |
2019-11-26 14:10
[Poster Presentation]
GPS position information error estimation method based on ionospheric ionogram using neural network
Mikito Mouri, Yuga Maki, Akiko Fujimoto, Kazuya Tsukamoto (Kyutech) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Recently, GPS/GNSS (Global Positioning System/Global Navigation Satellite System) has widely spread as a means to acquire accurate position and time information. However, some errors are included in the information acquired by GPS, and the effect of GPS scintillation generated by the instability of ionosphere is a main factor. Therefore, in this study, a method to estimate GPS position information error based on the state of ionosphere is examined. Concretely, the correlation between the state of ionosphere and the GPS position information error is learned as a classification problem using a neural network, and a method for estimating the GPS position information error based on the ionosphere information is used. Using the ionosphere observation data (ionogram) acquired from the FM-CW (Frequency - Modulated Continuous Wave) system ionosonde equipment installed in Sasaguri town, Fukuoka Prefecture as learning data, and using the positional information error acquired from the electronic reference point around Sasaguri town, the data classified into 3 stages according to the degree of the error is given as teacher data. Then, as a result of estimating GPS information from ionospheric data using learning results, it was elucidated that classification of GPS errors could be estimated with precision of about 60%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
GPS/GNSS / GPS scintillation / Neural Network / / / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Conference Information |
| Committee |
RISING |
| Conference Date |
2019-11-26 - 2019-11-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Researches on Super-Intelligent Networking, etc. |
| Paper Information |
| Registration To |
RISING |
| Conference Code |
2019-11-RISING |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
GPS position information error estimation method based on ionospheric ionogram using neural network |
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GPS/GNSS |
| Keyword(2) |
GPS scintillation |
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Neural Network |
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| 1st Author's Name |
Mikito Mouri |
| 1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name |
Yuga Maki |
| 2nd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
| 3rd Author's Name |
Akiko Fujimoto |
| 3rd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
| 4th Author's Name |
Kazuya Tsukamoto |
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Kyushu Institute of Technology (Kyutech) |
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| Speaker |
Author-1 |
| Date Time |
2019-11-26 14:10:00 |
| Presentation Time |
50 minutes |
| Registration for |
RISING |
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