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To save the computation time and improve the accuracy of reconstruction results by support vector machine (SVM), a multi-output least square SVM (LS-SVM) algorithm is proposed to reconstruct the position of a 2-D perfect electric conductor (PEC) cylinder below a rough surface. Firstly, the scattered electromagnetic fleld at a number of observation positions is calculated by the method of moment to generate the training and testing data. Then the multi- output LS-SVM is trained to reconstruct the coordinate of the object center. Numerical results show that this approach is accurate and e-cient even with some additive Gaussian noise.

MULTI-OUTPUT LEAST SQUARE SUPPORT VECTOR MACHINE FOR THE RECONSTRUCTION OF PERFECT ELECTRIC CONDUCTOR BELOW ROUGH SURFACE