Improving GNSS Positioning Using Neural-Network-Based Corrections
Deep neural networks (DNNs) are a promising tool for global navigation satellite system (GNSS) positioning in the presence of multipath and non-line-of-sight errors, owing to their ability to model complex errors using data. However, developing a DNN for GNSS positioning presents various challenges,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Navigation
2022-11-01
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| Series: | Navigation |
| Online Access: | https://navi.ion.org/content/69/4/navi.548 |