DocumentCode :
1534678
Title :
Application of an optimal look-up table to sensor data processing
Author :
Flammini, Alessandra ; Marioli, Daniele ; Taroni, Andrea
Author_Institution :
Dept. of Electron. for Autom., Brescia Univ., Italy
Volume :
48
Issue :
4
fYear :
1999
fDate :
8/1/1999 12:00:00 AM
Firstpage :
813
Lastpage :
816
Abstract :
This paper presents a new method for calculating a look-up table to evaluate the measurand when a sensor pair is considered. A least mean squares technique has been used to calculate look-up table entries directly from sparse calibration data. The algorithm has been implemented by using the eight-bit MC68HC11 microcontroller; it reduces to a half the maximum value of the approximation error referred to the full scale if compared with the classical methods. A resistive network with end point linearity referred to the full scale of 15% has been used to emulate a sensor pair and the two input signals have been sampled with an 8-bit A/D converter
Keywords :
bilinear systems; calibration; interpolation; least mean squares methods; multidimensional signal processing; piecewise linear techniques; sensor fusion; table lookup; ADC sampled signals; approximation error; bilinear systems; end point linearity; least mean squares technique; microcontroller implementation; multidimensional signal processing; multisensor systems; optimal look-up table; piecewise linear approximation; resistive network; sensor data processing; sensor pair measurand evaluation; sparse calibration data; Approximation error; Calibration; Data processing; Interpolation; Least squares approximation; Microcontrollers; Piecewise linear approximation; Signal processing; Signal processing algorithms; Table lookup;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/19.779179
Filename :
779179
Link To Document :
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