Prediction on the Urban GNSS Measurement Uncertainty Based on Deep Learning Networks With Long Short-Term Memory-Reference-Cited by-同舟云学术

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Prediction on the Urban GNSS Measurement Uncertainty Based on Deep Learning Networks With Long Short-Term Memory

Published:2021-09-15 Issue:18 Volume:21 Page:20563-20577
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhang Guohao^ORCID,Xu Penghui,Xu Haosheng,Hsu Li-Ta^ORCID

Funder

Research Institute for Sustainable Urban Development, Hong Kong Polytechnic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9539108/09490205.pdf?arnumber=9490205

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3. GNSS Fault Detection and Exclusion (FDE) Under Sidewalk Constraints for Pedestrian Localization in Urban Canyons;IEEE Transactions on Intelligent Transportation Systems;2024-09

4. Machine Learning in GNSS Multipath/NLOS Mitigation: Review and Benchmark;IEEE Aerospace and Electronic Systems Magazine;2024-09

5. Deep Learning Based Vehicle-Mounted Environmental Context Awareness via GNSS Signal;IEEE Transactions on Intelligent Transportation Systems;2024-08

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