Study of Five-Hundred-Meter Aperture Spherical Telescope Feed Cabin Time-Series Prediction Studies Based on Long Short-Term Memory–Self-Attention

Study of Five-Hundred-Meter Aperture Spherical Telescope Feed Cabin Time-Series Prediction Studies Based on Long Short-Term Memory–Self-Attention

The Five-hundred-meter Aperture Spherical Telescope (FAST), as the world’s most sensitive single-dish radio telescope, necessitates highly accurate positioning of its feed cabin to utilize its full observational potential. Traditional positioning methods that rely on GNSS and IMU, integrated with TS...

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Bibliographic Details
Main Authors: Shuai Peng, Minghui Li, Benning Song, Dongjun Yu, Yabo Luo, Qingliang Yang, Yu Feng, Kaibin Yu, Jiaxue Li
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
multi-sensor positioning
position prediction
LSTM-Self-Attention
GNSS/IMU
FAST feed cabin
Online Access:https://www.mdpi.com/1424-8220/24/21/6857
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