DocumentCode
1854319
Title
Comparison of readout circuitry techniques for data acquisition in raw sensor systems
Author
Aragonés, Raúl ; Álvarez, Paula ; Oliver, Joan ; Ferrer, Carles
Author_Institution
Dept de Microelectron. i Sistemes Electron., Univ. Autonoma de Barcelona (IEEC-UAB), Barcelona, Spain
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
1252
Lastpage
1257
Abstract
This paper presents an analog front-end for conditioning and acquiring raw sensors signals for a frequency based converter platform, with low power consumption aim. This platform consists of specific circuits designed to interface not conditioned sensors with efficient frequency to code converters, also implemented for this application. The whole system shapes a readout integrated circuit (ROIC). This ROIC integrates specific capacitance to frequency converters, resistance to voltage converter, and a voltage to frequency converter, in an AMS 0.35 μM ASIC with a total area of 780 μM * 890 μM. This newly frequency acquisition and conditioning technology proves to be very versatile, precise and useful for signal sensor acquisition in scalable structures, improving the monitoring system reliability and performance.
Keywords
application specific integrated circuits; data acquisition; frequency convertors; low-power electronics; readout electronics; ASIC; analog front-end; data acquisition; frequency acquisition; frequency based converter platform; low power consumption; monitoring system performance; monitoring system reliability; raw sensor systems; readout circuitry techniques; readout integrated circuit; resistance-voltage converter; signal sensor acquisition; voltage-frequency converter; CMOS integrated circuits; Capacitance; Frequency conversion; Frequency shift keying; Voltage-controlled oscillators;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Glendale, AZ
ISSN
1553-572X
Print_ISBN
978-1-4244-5225-5
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2010.5675549
Filename
5675549
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