Use Support Vector Machine to Evaluate the Operational Effectiveness of Radar Jammer

To the operational effectiveness evaluation of radar jammer, a general evaluation idea was given. The evaluation problem was converted to a multi-class classification problem of support vector machine (SVM), and the evaluation method was proposed based on C-SVM classifier. RBF (radial basis function) was selected as kernel and cross-validation techniques were used for parameter optimization. Finally, a simulation experiment was implemented, and the results show that this method is simple and effective.