Experimental Results of Maritime Target Detection Based on SVM Classifier

Abstract

A radar target detection algorithm based on Support Vector Machine (SVM) Classifier is proposed in this paper for the problem of target detection of high resolution range profile (HRRP). In solving nonlinear and high-dimensional pattern recognition, the SVM classification algorithm proposed based on statistical theory shows many advantages. the basic idea of SVM can be summarized as transforming the input space into a high-dimensional space by the nonlinear variation defined by the inner product, and then finding the optimal classification plane in this new space. The experimental results show the radar target detection algorithm based on SVM classifier can detect targets successfully in different clutter environment and has good performances.