A novel design of a robust ten-port microwave reflectometer with autonomous calibration by using neural networks
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Monzó Cabrera, Juan; Pedreño Molina, Juan Luis; Toledo Moreo, Ana Belén; Lozano Guerrero, Antonio JoséGrupo de investigación
Grupo de Electromagnetismo y Materia (GEM); División de Sistemas e Ingeniería electrónica (DSIE)Área de conocimiento
Teoría de la Señal y las ComunicacionesFecha de publicación
2008-12Editorial
IEEE Microwave Theory and Techniques SocietyCita bibliográfica
MONZÓ CABRERA, Juan, PEDREÑO MOLINA, Juan L., LOZANO GUERRERO. Antonio, TOLEDO MOREO, Ana. A novel design of a robust ten-port microwave reflectometer with autonomous calibration by using neural networks. IEEE Transactions on Microwave Theory and Techniques, 56 (12 parte 1) : 2972 - 2978, 2008. ISSN 0018-9480Revisión por pares
SíPalabras clave
Ten-portNeural network
Autonomous calibration
Reflectometer
Diez puertos
Red neuronal
Calibración autónoma
Reflectómetro
Resumen
In this study, a novel ten-port waveguide microwave
sensor is designed, implemented, calibrated and tested in order
to obtain the reflection coefficient magnitude and phase. This reflectometer
is based on the well known six-port structure but the
number of detectors has been increased to eight in order to improve
the sampling procedure of the standing wave present within
the waveguide. In addition, a learning method based on neural networks’
usage has been implemented for autonomous calibration
from the data collected by a vector network analyzer. An automated
procedure consisting of a moving sample within a multimode
cavity has enabled different reflection coefficients to be obtained.
Neural networks have been employed in order to learn the
relationship between the actual reflection parameter and the acquired
signals from eight power detectors. This novel device has
been calibrated with a neural architecture based on radial basis
functions and the error of device measur ...
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