GNSS NLOS Signal Modeling and Quantification Method in Railway Urban Canyon Environment-Reference-Cited by-同舟云学术

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GNSS NLOS Signal Modeling and Quantification Method in Railway Urban Canyon Environment

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Jiang Shuxian,Lu Debiao,Cai Baigen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8792328/8813768/08814194.pdf?arnumber=8814194

Cited by 4 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. Expectation Maximization Algorithm for GPS Positioning in Multipath Environments Based on Volterra Series;Circuits, Systems, and Signal Processing;2023-05-25

2. Toward the Future Generation of Railway Localization Exploiting RTK and GNSS;IEEE Transactions on Instrumentation and Measurement;2023

3. Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS;2022 IEEE Sensors Applications Symposium (SAS);2022-08-01

4. Digital Track Map Aided Multi-sensor Fusion for Train Occupancy Identification in Complicated Track Sections;Lecture Notes in Electrical Engineering;2021

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