Soft Information-Based Localization for 5G Networks and Beyond
Author:
Affiliation:
1. Department of Engineering and CNIT, University of Ferrara, Ferrara, Italy
2. Ericsson, Stockholm, Sweden
3. Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA
Funder
European Union’s Horizon 2020 Research and Innovation Programme
Office of Naval Research
National Science Foundation
Federal Agency and Industry Partners in the RINGS Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
https://ieeexplore.ieee.org/ielam/7693/10354275/10127621-aam.pdf
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1. Local Descriptor for Robust Place Recognition Using LiDAR Intensity
2. A Survey on the Impact of Multipath on Wideband Time-of-Arrival Based Localization
3. LOBOT: Low-Cost, Self-Contained Localization of Small-Sized Ground Robotic Vehicles
4. Inhomogeneous Poisson Sampling of Finite-Energy Signals With Uncertainties in ${\mathbb{R}}^{d}$
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