信息与控制2017，Vol.46Issue(1)：65-71,102,8.DOI:10.13976/j.cnki.xk.2017.0065
结合多分类RVM和DS的弹道目标HRRP融合识别方法
Ballistic Target HRRP Fusion Recognition Combining Multi-class Relevance Vector Machine and DS
摘要
Abstract
Multifeature fusion can significantly improve the recognition performance of target discrimination.A multiclass RVM model,based on the basic RVM model,is extended and DS evidence theory is used to fuse the recognition result.A HRRP (high-resolution range profile) classification approach combining MRVM and DS evidence theory is then presented.The posterior probability of multiclass RVM is integrated into the BPA (basic probability assignment).This applies the combination of RVM and DS evidence theory to target recognition and solves the difficulty of getting BPA in DS evidence theory.Experiment results based on simulated data show tthat he probability estimated by MRVM is more precise and the fusion recognition performance is better,which testifies the efficiency of the proposed method.关键词
目标识别/高分辨距离像/相关向量机/DS证据理论Key words
target recognition/high resolution range profile (HRRP)/relevance vector machine (RVM)/DS evidence theory分类
信息技术与安全科学引用本文复制引用
李睿,王晓丹,雷蕾,薛爱军..结合多分类RVM和DS的弹道目标HRRP融合识别方法[J].信息与控制,2017,46(1):65-71,102,8.基金项目
国家自然科学基金资助项目(61273275,60975026) （61273275,60975026）
