Analysis of coloured noise in received signal strength using the Allan Variance

Chunbo Luo; Pablo Casaseca-De-La-Higuera; Sally McClean; Gerard Parr; Christos Grecos

Analysis of coloured noise in received signal strength using the Allan Variance

Chunbo Luo, Pablo Casaseca-De-La-Higuera, Sally McClean, Gerard Parr, Christos Grecos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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	European Signal Processing Conference
Publisher	European Signal Processing Conference, EUSIPCO
Pages	994-998
Number of pages	5
ISBN (Print)	9780992862619, 2219-5491
Publication status	Published - 10 Nov 2014
Event	22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal Duration: 1 Sep 2014 → 5 Sep 2014

Conference

Conference	22nd European Signal Processing Conference, EUSIPCO 2014
Country/Territory	Portugal
City	Lisbon
Period	1/09/14 → 5/09/14

Keywords

802.11
Allan variance
coloured noise
noise characterisation
RSS

Cite this

@inproceedings{7f46fa3a26bb455cb9b3a3640a6fd15d,

title = "Analysis of coloured noise in received signal strength using the Allan Variance",

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.",

keywords = "802.11, Allan variance, coloured noise, noise characterisation, RSS",

author = "Chunbo Luo and Pablo Casaseca-De-La-Higuera and Sally McClean and Gerard Parr and Christos Grecos",

year = "2014",

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language = "English",

isbn = "9780992862619",

pages = "994--998",

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note = "22nd European Signal Processing Conference, EUSIPCO 2014 ; Conference date: 01-09-2014 Through 05-09-2014",

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TY - GEN

T1 - Analysis of coloured noise in received signal strength using the Allan Variance

AU - Luo, Chunbo

AU - Casaseca-De-La-Higuera, Pablo

AU - McClean, Sally

AU - Parr, Gerard

AU - Grecos, Christos

PY - 2014/11/10

Y1 - 2014/11/10

N2 - 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.

AB - 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.

KW - 802.11

KW - Allan variance

KW - coloured noise

KW - noise characterisation

KW - RSS

UR - http://www.scopus.com/inward/record.url?scp=84911892302&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84911892302

SN - 9780992862619

SN - 2219-5491

SP - 994

EP - 998

BT - European Signal Processing Conference

PB - European Signal Processing Conference, EUSIPCO

T2 - 22nd European Signal Processing Conference, EUSIPCO 2014

Y2 - 1 September 2014 through 5 September 2014

ER -

Analysis of coloured noise in received signal strength using the Allan Variance

Abstract

Conference

Keywords

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Gerard Parr

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