TY - JOUR 
A1 - Pedreño Molina, Juan Luis
AU - Pinzolas Prado, Miguel
AU - Monzó Cabrera, Juan
T1 - A new methodology for in-situ calibration of a neural network-based software sensor for S-parameter prediction in six-port reflectometers
Y1 - 2006
UR - http://hdl.handle.net/10317/1473
AB - In this work, a neural network-based software sensor is proposed for determining the reflection coefficient from measurements
obtained by a six-port reflectometer. The proposed software sensor is able to cope with the nonlinearities and noise inherent to the
measurement electronics, without needing additional calibration. To extract data for the calibration, a new method that allows in situ
calibration is applied. Experimental evidence of the feasibility of the proposed method is given using a simulation testbench.
KW - Teoría de la Señal y las Comunicaciones
KW - Six-port reflectometer
KW - S-parameter prediction
KW - Six_port calibration
KW - Neural Networks
KW - Microwave cavity measurement
LA - eng
PB - Elsevier Science
ER -