Classifying HRRP by AdaBoostSVM

摘要：

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 σ-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.

作者: Xiaodan WANG Chongming WU Chunying ZHENG

作者单位: Department of Computer Engineering,Air Force Engineering University

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）