Multi-RIS-Assisted 3D Localization and Synchronization via Deep Learning
Author:
Affiliation:
1. School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
2. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
Funder
SNS JU Project 6G-DISAC under the EU’s Horizon Europe Research and Innovation Program
Vetenskapsrådet
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/8782661/10362961/10542461.pdf?arnumber=10542461
Reference50 articles.
1. Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G
2. Robustness Enhanced Sensor Assisted Monte Carlo Localization for Wireless Sensor Networks and the Internet of Things
3. An Asymptotically Efficient Estimator in Closed-Form for 3-D AOA Localization Using a Sensor Network
4. A Convergent Iteration Method for 3-D AOA Localization
5. Exploiting AoA Estimation Accuracy for Indoor Localization: A Weighted AoA-Based Approach
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