A Tropospheric Zenith Delay Forecasting Model Based on a Long Short-Term Memory Neural Network and Its Impact on Precise Point Positioning

A Tropospheric Zenith Delay Forecasting Model Based on a Long Short-Term Memory Neural Network and Its Impact on Precise Point Positioning

Global navigation satellite system (GNSS) signals are affected by refraction when traveling through the troposphere, which result in tropospheric delay. Generally, the tropospheric delay is estimated as an unknown parameter in GNSS data processing. With the increasing demand for GNSS real-time appli...

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Bibliographic Details
Main Authors: Huan Zhang, Yibin Yao, Mingxian Hu, Chaoqian Xu, Xiaoning Su, Defu Che, Wenjie Peng
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
precise point position
global navigation satellite system
zenith tropospheric delay
k-nearest neighbor algorithm
long short-term memory neural network
Online Access:https://www.mdpi.com/2072-4292/14/23/5921

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