Unsupervised Learning for Crowdsourced Indoor Localization in Wireless Networks

Author:

Jung Suk-hoon,Moon Byung-chul,Han Dongsoo

Funder

Center for Integrated Smart Sensors

Ministry of Science, ICT & Future Planning

Global Frontier Project

National Research Foundation of Korea

Korea government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Cited by 76 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. Performance Analysis of Fingerprint-Based Indoor Localization;IEEE Internet of Things Journal;2024-07-01

2. Constructing Indoor Region-Based Radio Map Without Location Labels;IEEE Transactions on Signal Processing;2024

3. Automatic Fingerprint Data Labeling Using WiFi Signal and Smartphone Camera for Indoor Positioning;Wireless Communications and Mobile Computing;2024-01

4. RLoc;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-12-19

5. Learning to Locate: Adaptive Fingerprint-Based Localization With Few-Shot Relation Learning in Dynamic Indoor Environments;IEEE Transactions on Wireless Communications;2023-08

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