Deep-Learning-Based High-Precision Localization With Massive MIMO
Author:
Affiliation:
1. Department of Electrical and Information Technology, Lund University, Lund, Sweden
Funder
Ericsson AB
Horizon Europe Framework Program through the Marie Skłodowska-Curie
Vetenskapsrådet
Strategic Research Area Excellence Center at Linköping-Lund in Information Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9882533/10356147/10330061.pdf?arnumber=10330061
Reference43 articles.
1. Toward 6G with terahertz communications: Understanding the propagation channels;Cai;arXiv:2209.07864,2022
2. Cellular Localization for Autonomous Driving: A Function Pull Approach to Safety-Critical Wireless Localization
3. A Pedestrian Indoor Navigation System Using Deep-Learning-Aided Cellular Signals and ZUPT-Aided Foot-Mounted IMUs
4. Ground Vehicle Navigation in GNSS-Challenged Environments Using Signals of Opportunity and a Closed-Loop Map-Matching Approach
5. Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning: A Radio Map-Based Approach
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