Enhancing WiFi Access Point Localization With AI-Based Filtering-Reference-Cited by-同舟云学术

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Enhancing WiFi Access Point Localization With AI-Based Filtering

Published:2024-06 Issue:6 Volume:28 Page:1332-1336
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Yang Cheng-Yu¹^ORCID,Shih Wan-Ting¹^ORCID,Wen Chao-Kai¹^ORCID,Tsai Shang-Ho²^ORCID,Yuen Chau³^ORCID

Affiliation:

1. Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

2. Institute of Electrical Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. School of Electrical and Electronics Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Science and Technology Council

Google award

Higher Education SPROUT Project of the Ministry of Education, Taiwan

Sixth Generation Communication and Sensing Research Center

National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4234/10554342/10478650.pdf?arnumber=10478650

Reference10 articles.

1. A Survey on Indoor Positioning Systems for IoT-Based Applications

2. Path Planning Under Uncertainty to Localize mmWave Sources

3. EasyAPPos: Positioning Wi-Fi Access Points by Using a Mobile Phone

4. Reducing UWB Indoor Localization Error Using the Fusion of Kalman Filter with Moving Average Filter

5. Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach

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