Possibilities of AI Algorithm Execution in GNSS
Author:
Affiliation:
1. DST
2. SVNIT,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10118363/10118434/10118529.pdf?arnumber=10118529
Reference25 articles.
1. Improving GPS Code Phase Positioning Accuracy in Urban Environments Using Machine Learning
2. A Machine Learning Approach to Monitoring the UHI From GNSS Data
3. Disruptive GNSS Signal detection and classification at different Power levels Using Advanced Deep-Learning Approach
4. Neural network-based ionospheric modeling and predicting—To enhance high accuracy GNSS positioning and navigation
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1. A survey of machine learning techniques for improving Global Navigation Satellite Systems;EURASIP Journal on Advances in Signal Processing;2024-06-28
2. RTK-B Enhancing Real-Time Kinematic (RTK) Positioning with Genetic Algorithms and Long-Code GNSS Signals for Rapid Ambiguity Resolution and Improved Accuracy;Lecture Notes in Networks and Systems;2023
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