Differential d-Vectors for RSS based Localization in Dynamic IoT Networks

Tiwary, Piyush; Pandey, Ankur; Kumar, Sudhir

doi:10.1109/comsnets51098.2021.9352896

Cited by 3 publications

(1 citation statement)

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“…To remedy this issue, other variants of perceived measurements are used. For example, differences in signal strengths are used in [ 60 ] to address both device heterogeneity and temporal variation of RSS. Another differential RSS-based localisation is handled in [ 61 ].…”

Section: Fingerprintingmentioning

confidence: 99%

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

Kabiri

Cimarelli

Bavle

et al. 2022

Sensors

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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.

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Section: Fingerprintingmentioning

confidence: 99%