Characterization of Received Signal Strength Perturbations using Allan Variance

Chunbo Luo, Pablo Casaseca-de-la-Higuera, Sally McClean, Gerard Parr, Peng Ren

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
71 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)873-889
Number of pages17
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number2
Early online date3 Nov 2017
Publication statusPublished (in print/issue) - 11 Apr 2018


  • Received Signal Strength (RSS)
  • coloured noise
  • Allan variance
  • Kalman filter
  • RSS simulation
  • RSS based localization


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