Deep Learning Approach for Optimal Localization Using an mm-Wave Sensor
Author:
Affiliation:
1. University of Huddersfield, Huddersfield, U.K
2. Aristotle University of Thessaloniki, Thessaloniki, Greece
Funder
Horizon 2020 Marie Sk?odowska-Curie Innovative Training Networks Programme
Mobility and Training for beyond 5G Ecosystems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10241303.pdf?arnumber=10241303
Reference65 articles.
1. Model-Based Learning Network for 3-D Localization in mmWave Communications
2. WiDeep: WiFi-based Accurate and Robust Indoor Localization System using Deep Learning
3. The Effect of Multipath Propagation on Performance Limit of mmWave MIMO-Based Position, Orientation and Channel Estimation
4. CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach
5. Multiple emitter location and signal parameter estimation
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