Classifying HRRP by AdaBoostSVM

Radar target identification by using high resolution range profile (HRRP) have been studied extensively. Effective way of HRRP classification by support vector machine (SVM) was studied in this paper. In order to improve the classification performance of SVM, the approach of improving the classification performance of AdaBoostSVM was studied. A new variable sigma-AdaBoostSVM was given, it improves the classification performance by making a balance between the accuracy and diversity of base classifiers. The scheme of using the improved algorithm for AdaBoostSVM to classify HRRP was studied. Experiments using the measured range profile datasets prove the effectiveness of the scheme.