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Luo, Chunbo, Casaseca-De-La-Higuera, Pablo, McClean, Sally, Parr, Gerard 
ORCID: https://orcid.org/0000-0002-9365-9132 and Grecos, Christos
(2014)
Analysis of coloured noise in received signal strength using the Allan Variance.
In:
European Signal Processing Conference.
European Signal Processing Conference, EUSIPCO, PRT, pp. 994-998.
ISBN 9780992862619
Abstract
The received signal strength (RSS) of wireless signals has been widely used in communications, localization and tracking. Theoretical modelling and practical applications often make a white noise assumption when dealing with RSS measurements. However, as we will show in this paper, the noise present in RSS measurements has time-dependency properties. In order to study these properties and provide noise characterisation, we propose to use the Allan Variance (AVAR) and show its better performance in comparison with direct analysis in the frequency domain using a periodogram. We further study the contribution of each component by testing real RSS data. Our results confirm that the noise associated with RSS signals is actually coloured and demonstrate the appropriateness of AVAR for the identification and characterisation of these components.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | 802.11,allan variance,coloured noise,noise characterisation,rss,signal processing,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1700/1711 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 08 Nov 2016 16:00 |
| Last Modified: | 10 Dec 2024 01:11 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/61272 |
| DOI: |
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