国防科技大学学报2017，Vol.39Issue(5)：21-25,5.DOI:10.11887/j.cn.201705004
利用支持向量机的矢量跟踪通道故障检测算法
Applying support vector machine to faulty channel detection in vector tracking loop
摘要
Abstract
In order to overcome the faulty channels' influence on the receiver and improve the robustness of the vector tracking loops,a faulty channel detection algorithm,which employs the innovative sequences of the navigation filter as the input vector of a support vector machine,was proposed.A trained support vector machine was used to classify the channel as faulty or not faulty.If the channel is classified as faulty,it will not be included in the navigation filter to update the navigation results.In this way,the algorithm can eliminate the bad influence of the faulty channels.The simulation results show that this method can accurately detect faulty channels,and improve the performance and robustness of the vector tracking loops.关键词
卫星导航/矢量跟踪/支持向量机/通道检测Key words
satellite navigation/vector tracking/support vector machine/channel detection分类
信息技术与安全科学引用本文复制引用
蒋长辉,陈帅,薄煜明,邓贵军,屈新芬..利用支持向量机的矢量跟踪通道故障检测算法[J].国防科技大学学报,2017,39(5):21-25,5.基金项目
国家自然科学基金委员会和中国工程物理研究院联合基金资助项目(U1330133) （U1330133）
中央高校基本科研业务费专项资金资助项目(30916011336) （30916011336）
中国博士后科学基金资助项目(2015M580434) （2015M580434）
中国博士后特别资助项目(2016T90461) （2016T90461）
江苏省博士后科研资助计划(1501050B) （1501050B）
