Abstract
Efficient localisation plays a vital role in many modern applications of Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved control, safety, power economy, etc. The ubiquitous 5G NR (New Radio) cellular network will provide new opportunities to enhance the localisation of UAVs and UGVs. In this paper, we review radio frequency (RF)-based approaches to localisation. We review the RF features that can be utilized for localisation and investigate the current methods suitable for Unmanned Vehicles under two general categories: range-based and fingerprinting. The existing state-of-the-art literature on RF-based localisation for both UAVs and UGVs is examined, and the envisioned 5G NR for localisation enhancement, and the future research direction are explored.
Funder
Luxembourg National Research Fund (FNR) 5G-SKY project
European Commission Horizon2020 research and innovation programme
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference127 articles.
1. Amponis, G., Lagkas, T., Zevgara, M., Katsikas, G., Xirofotos, T., Moscholios, I., and Sarigiannidis, P. (2022). Drones in B5G/6G Networks as Flying Base Stations. Drones, 6.
2. Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain;Azmat;Asian J. Sustain. Soc. Responsib.,2020
3. Is localization of wireless sensor networks in irregular fields a challenge?;Bhat;Wireless Pers. Commun.,2020
4. Performance evaluation of DV-Hop localization algorithm for geographical routing in wireless sensor networks;Hadir;Procedia Comput. Sci.,2017
5. Effective neural network-based node localisation scheme for wireless sensor networks;Chuang;IET Wirel. Sensor Syst.,2014
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