TRAIL: A Three-Step Robust Adversarial Indoor Localization Framework-Reference-Cited by-同舟云学术

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TRAIL: A Three-Step Robust Adversarial Indoor Localization Framework

Published:2024-04-01 Issue:7 Volume:24 Page:10462-10473
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yang Yin¹,Guo Xiansheng²^ORCID,Chen Cheng³^ORCID,Boateng Gordon Owusu¹^ORCID,Si Haonan¹^ORCID,Qian Bocheng¹,Duan Linfu¹

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Zhejiang, Quzhou, China

3. Department of Automation, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Municipal Government of Quzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10443830.pdf?arnumber=10443830

Reference38 articles.

1. A Survey on Fusion-Based Indoor Positioning

2. TDOA-Based Source Localization With Distance-Dependent Noises

3. Toward Robust Crowdsourcing-Based Localization: A Fingerprinting Accuracy Indicator Enhanced Wireless/Magnetic/Inertial Integration Approach

4. RADAR: an in-building RF-based user location and tracking system

5. A Hybrid Positioning System for Location-Based Services: Design and Implementation

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. The State of the Art of Deep Learning-Based Wi-Fi Indoor Positioning: A Review;IEEE Sensors Journal;2024-09-01

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