Online Learning Based NLOS Ranging Error Mitigation in 5G Positioning

Author:

Zhang Jiankun1,Wang Hao1

Affiliation:

1. Huawei Technologies Co., Ltd,Beijing,China,100095

Publisher

IEEE

Reference15 articles.

1. Neural Processes;garnelo;ArXiv Preprint,2018

2. Harnessing NLOS Components for Position and Orientation Estimation in 5G Millimeter Wave MIMO

3. NP-Match: When Neural Processes meet Semi-Supervised Learning;wang;Proc 39th International Conference on Machine Learning PMLR Baltimore USA,2022

4. Conditional Neural Processes;garnelo;Proc International Conference on Machine Learning Stockholm Sweden,2018

5. Deep Generative Model for Simulta-neous Range Error Mitigation and Environment Identification;li;Proc 2021 IEEE GLOBECOM Workshops Madrid Spain,0

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2. VNP: A Weak-Supervised and Retraining-Free Learning Approach for Online Positioning;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

3. ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation;2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService);2023-07

4. From Experiments to Insights: A Journey in 5G New Radio Localization;2023 21st Mediterranean Communication and Computer Networking Conference (MedComNet);2023-06-13

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