Title :
Support vector regression for echo correction in antenna measurement
Author :
Álvarez, J. ; Ayestarán, R.G. ; León, G. ; Loredo, S. ; López-Fernández, J.A. ; Las-Heras, F.
Author_Institution :
Dept. of Electr. Eng., Univ. of Oviedo, Gijón, Spain
Abstract :
The support vector regression (SVR) framework is proposed as the basis for an echo correction technique. Its generalization capabilities in input-output knowledge discovery make the method suitable to solve the problem of the unwanted reflections in measurement systems and to recover the real values of the antenna under test. Experimental validation is also presented to show the efficiency of the proposed method.
Keywords :
antenna radiation patterns; data mining; echo; electrical engineering computing; matrix algebra; measurement systems; regression analysis; support vector machines; SVR matrix; antenna measurement; echo correction; input-output knowledge discovery; measurement systems; radiation pattern; support vector regression; Antenna measurements; Antenna radiation patterns; Noise; Probes; Support vector machines; Training; Echo correction; Support Vector Regression; antenna measurement;
Conference_Titel :
Antennas and Propagation (EUCAP), Proceedings of the 5th European Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4577-0250-1
