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Intelligent Sensors in Software: The Use of Parametric Models for Phase Noise Analysis

Record type: Conference or Workshop Item (Paper)

Intelligent senors have attracted particular attention in the recent past. This paper argues that an “intelligent sensor” should be able to perform on-board signal processing within the sensor’s software in order to produce the optimal signal output. A generic intelligent sensor software architecture is described which builds upon the basic requirements of related industry standards. In this framework, advanced signal processing analyses and algorithms need to be employed. As a case study, we present a novel approach for the analysis of the effect of phase noise in devices such as chemical SAW sensors, gyroscopes, biochemical acoustic wave resonator based sensors and accelerometers.

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Citation

Chorti, Arsenia, Karatzas, Dimosthenis, White, Neil M. and Harris, Chris J. (2006) Intelligent Sensors in Software: The Use of Parametric Models for Phase Noise Analysis At 4th International Conference on Intelligent Sensing and Information Processing (ICISIP2006), India. 15 - 18 Dec 2006. , pp. 191-196.

More information

Published date: 2006
Additional Information: Event Dates: December 15-18, 2006
Venue - Dates: 4th International Conference on Intelligent Sensing and Information Processing (ICISIP2006), India, 2006-12-15 - 2006-12-18
Keywords: Intelligent sensors, phase noise analysis
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 263548
URI: http://eprints.soton.ac.uk/id/eprint/263548
PURE UUID: 944507fb-d172-4cf6-852f-395e3da7cdff
ORCID for Neil M. White: ORCID iD orcid.org/0000-0003-1532-6452

Catalogue record

Date deposited: 19 Feb 2007
Last modified: 18 Jul 2017 07:44

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Contributors

Author: Arsenia Chorti
Author: Dimosthenis Karatzas
Author: Neil M. White ORCID iD
Author: Chris J. Harris

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