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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014 |
| Publisher | IEEE |
| Pages | 994-998 |
| Number of pages | 5 |
| ISBN (Print) | 9781479946037 |
| Publication status | Published - 2014 |
Keywords
- frequency-domain analysis
- radio networks
- signal processing
- white noise
- AVAR
- Allan variance
- RSS measurements
- coloured noise analysis
- direct frequency domain analysis
- periodogram
- real RSS data testing
- received signal strength
- time-dependency properties
- white noise assumption
- wireless signals
- Colored noise
- Educational institutions
- Estimation
- Noise measurement
- Wireless communication
- 802.11
- RSS
- coloured noise
- noise characterisation