Title :
Designing Adaptive Conditioning Electronics for Smart Sensing
Author :
Zatorre, Guillermo ; Medrano, Nicolás ; Sanz, María Teresa ; Calvo, Belén ; Martínez, Pedro A. ; Celma, Santiago
Author_Institution :
Design Dept., INCIDE S.A.., San Sebastian, Spain
fDate :
4/1/2010 12:00:00 AM
Abstract :
This paper presents a robust digitally programmable CMOS analogue processor designed for sensor output conditioning in embedded applications. In addition, system adaptability allows for correction of the deviations in circuit operation due to ageing, mismatch or environmental effects, lending a smart nature to the devices. In order to tune the free parameters of the system, two training strategies based on perturbative algorithms are compared. The processor performance is validated by adjusting the response of an angular position sensor and the insensitivity to parameter mismatch is demonstrated through high-level simulations based on Monte Carlo electrical simulation data.
Keywords :
CMOS analogue integrated circuits; Monte Carlo methods; intelligent sensors; programmable circuits; Monte Carlo electrical simulation data; adaptive conditioning electronics; angular position sensor; perturbative algorithms; robust digitally programmable CMOS analogue processor; sensor output conditioning; smart sensing; CMOS process; Calibration; Circuits; Consumer electronics; Costs; Intelligent sensors; Robustness; Sensor phenomena and characterization; Sensor systems; Temperature sensors; Adaptive signal processing; intelligent sensors; mixed analog-digital integrated circuits;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2009.2033463
