Machine Learning in GNSS Multipath/NLOS Mitigation: Review and Benchmark-Reference-Cited by-同舟云学术

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Machine Learning in GNSS Multipath/NLOS Mitigation: Review and Benchmark

Published:2024-09 Issue:9 Volume:39 Page:26-44
ISSN:0885-8985
Container-title:IEEE Aerospace and Electronic Systems Magazine
language:
Short-container-title:IEEE Aerosp. Electron. Syst. Mag.

Author:

Xu Penghui¹^ORCID,Zhang Guohao¹^ORCID,Yang Bo¹^ORCID,Hsu Li-Ta¹^ORCID

Affiliation:

1. The Hong Kong Polytechnic University, Hong Kong

Funder

University Grants Committee of Hong Kong

Research Impact Fund

Reliable Multiagent Collaborative Global Navigation Satellite System Positioning for Intelligent Transportation Systems

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/62/10670443/10516283.pdf?arnumber=10516283

Reference82 articles.

1. Multipath vs. NLOS signals;Groves;Inside GNSS,2013

2. Robust Positioning in the Presence of Multipath and NLOS GNSS Signals

3. Analysis and modeling GPS NLOS effect in highly urbanized area

4. GNSS NLOS Exclusion Based on Dynamic Object Detection Using LiDAR Point Cloud

5. What are the roles of artificial intelligence and machine learning in GNSS positioning?;L.-T.;Inside GNSS,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Soft-Decision GNSS Multipath Detection and Mitigation;Sensors;2024-07-18

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