For the hotspot of high resolution range profile(HRRP) usage in radar target recognition, a multi-polarized HRRP
classification approach combing SVM and DS evidence theory‘SDHRRP’is presented. The method defines different
confidence for the classifiers based on the distance between each other given by confusion matrix. Then the value and the
posterior probability of SVM are integrated into the BPA(basic probability assignment), which achieves the combination of
SVM and the evidence theory in target recognition. The gained BPA based on classifier reliability can avoid the evidence
conflict efficiently. The experimental results based on the measured data show the effectiveness of the proposed approach.