- Tytuł:
- Application of long short term memory neural networks for GPS satellite clock bias prediction
- Autorzy:
-
Gnyś, Piotr
Przestrzelski, Paweł - Powiązania:
- https://bibliotekanauki.pl/articles/1987078.pdf
- Data publikacji:
- 2021-12-30
- Wydawca:
- Politechnika Gdańska
- Tematy:
-
neural networks
LSTM
time series prediction
clock bias
GNSS
machine learning - Opis:
- Satellite-based localization systems like GPS or Galileo are one of the most commonly used tools in outdoor navigation. While for most applications, like car navigation or hiking, the level of precision provided by commercial solutions is satisfactory it is not always the case for mobile robots. In the case of long-time autonomy and robots that operate in remote areas battery usage and access to synchronization data becomes a problem. In this paper, a solution providing a real-time onboard clock synchronization is presented. Results achieved are better than the current state-of-the-art solution in real-time clock bias prediction for most satellites.
- Źródło:
-
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2021, 25, 4; 381-395
1428-6394 - Pojawia się w:
- TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
- Dostawca treści:
- Biblioteka Nauki
Artykuł