Support vector regression for echo correction in antenna measurement

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.