Intelligent Sensors in Software: The Use of Parametric Models for Phase Noise Analysis
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. In, 4th International Conference on Intelligent Sensing and Information Processing (ICISIP2006), Bangalore, India, 15 - 18 Dec 2006. IEEE, 191-196.
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.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Event Dates: December 15-18, 2006|
|Keywords:||Intelligent sensors, phase noise analysis|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
|Date Deposited:||19 Feb 2007|
|Last Modified:||27 Mar 2014 20:07|
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)