%0 Journal Article 
%A Pedreño Molina, Juan Luis
%A Pinzolas Prado, Miguel
%A Monzó Cabrera, Juan
%T A new methodology for in-situ calibration of a neural network-based software sensor for S-parameter prediction in six-port reflectometers
%D 2006
%U http://hdl.handle.net/10317/1473
%X 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.
%K Teoría de la Señal y las Comunicaciones
%K Six-port reflectometer
%K S-parameter prediction
%K Six_port calibration
%K Neural Networks
%K Microwave cavity measurement
%~ GOEDOC, SUB GOETTINGEN