Characterization of received signal strength perturbations using Allan variance
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182621788
- Type
- D - Journal article
- DOI
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10.1109/TAES.2017.2768278
- Title of journal
- IEEE Transactions on Aerospace and Electronic Systems
- Article number
- -
- First page
- 873
- Volume
- 54
- Issue
- 2
- ISSN
- 0018-9251
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The received signal strength (RSS) of wireless signals conveys important temporal and physical environment data widely exploited in node localisation/tracking. This paper is significant because it challenges the classic assumption of Gaussian noise models of RSS measurements. It further extends the Allan Variance to characterise coloured noise components of RSS and demonstrates the applications in modelling and localisation. This work is sponsored by the Royal Society-MOST Grant (No. 185730) and the Royal Society of Edinburgh-NSFC Grant (NNS/INT 15-16 Casaseca). The work also supports research on UAV Bridging for Disaster Communications as part of an EPSRC iCASE Award with BT.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -