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Characterisation of Received Signal Strength Perturbations using Allan Variance

Luo, Chunbo, Casaseca-de-la-Higuera, Pablo, McClean, Sally, Parr, Gerard and Ren, Peng (2018) Characterisation of Received Signal Strength Perturbations using Allan Variance. IEEE Transactions on Aerospace and Electronic Systems, 54 (2). pp. 873-889. [Journal article]

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DOI: 10.1109/TAES.2017.2768278

Abstract

The received signal strength (RSS) of wireless signalsconveys important information that has been widely used in wirelesscommunications, localisation and tracking. Traditional RSS-basedresearch and applications model the RSS signal using a deterministiccomponent plus a white noise term. This paper investigates theassumption of white noise to have a further understanding of theRSS signal and proposes a methodology based on the Allan Variance (AVAR) to characterise it. Using AVAR, we model the RSS unknown perturbations as correlated random terms. These terms can account for both coloured noise or other effects such as shadowing or small scale fading. Our results confirm that AVAR can be used to obtain a flexible model of the RSS perturbations, as expressed by coloured noise components . The study is complemented by introducing two straightforward applications of the proposed methodology: 1) The modelling and simulation of RSS noise using Wiener processes, and 2) RSS localisation using the extended Kalman filter.

Item Type:Journal article
Keywords:Received Signal Strength (RSS), coloured noise, Allan variance, Kalman filter, RSS simulation, RSS based localization
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:38915
Deposited By: Professor Sally McClean
Deposited On:26 Oct 2017 14:28
Last Modified:17 Apr 2018 10:46

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