Target and sea clutter identification algorithm based on Tri-feature training
Focusing on the issue of error detection in terminal guidance radar under sea clutter background,research on sea clutter suppression and discrimination is conducted.The target identification and classification algorithm based on Tri-feature training is adopted,and the target amplitude,peak duration range and fluctuation rate are used as feature quantities.The radial basis function(RBF)is selected as the kernel function,which has strong nonlinear mapping ability and can better represent the relationship between data in high-dimensional space.Then,the support vector machine(SVM)target identification and classification classifier design and experimental data verification are carried out.Verified by publicly available measured data,the accuracy rate of the proposed algorithm has reached over 97％.Compared with the traditional template matching recognition method,the target identification and classification algorithm based on Tri-feature training has higher identification accuracy,which proves the effectiveness and progressiveness of the proposed method.
万方数据
维普
