DocumentCode :
880573
Title :
Calibrating an industrial microwave six-port instrument using the artificial neural network technique
Author :
Liu, Yi
Author_Institution :
Div. of Miner., CSIRO, Menai, NSW, Australia
Volume :
45
Issue :
2
fYear :
1996
fDate :
4/1/1996 12:00:00 AM
Firstpage :
651
Lastpage :
656
Abstract :
Microwave six-port devices have been gaining popularity in many industrial on-line microwave measurement instruments. However, the calibration of a six-port device remains a difficult task, particularly if a large dynamic range of the measurement is required. The recent development of the artificial neural network (ANN) provides a powerful tool for nonlinear approximations which can be used to calibrate the six-port devices. An industrial prototype microwave six-port instrument has been calibrated using the ANN technique, which has achieved high accuracy over a wide dynamic range
Keywords :
calibration; computerised instrumentation; microwave measurement; neural nets; accuracy; artificial neural network; artificial neural network technique; calibration; dynamic range; industrial microwave six-port instrument; industrial online microwave measurement instruments; industrial prototype; microwave six-port devices; nonlinear approximations; Artificial neural networks; Calibration; Dynamic range; Gain measurement; Instruments; Microwave devices; Microwave measurements; Microwave theory and techniques; Particle measurements; Prototypes;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/19.492804
Filename :
492804
Link To Document :
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