电子学报Issue(12)：2394-2400,7.DOI:10.3969/j.issn.0372-2112.2014.12.009
强跟踪自适应平方根容积卡尔曼滤波算法
Strong Tracking Adaptive Square-Root Cubatu re Kal man Filter Algorith m
摘要
Abstract
To overcome problems that malfunctions in the measurement system lead to degradation of performance of strong tracking filter (STF)and inherent disadvantages of STF,an adaptive square-root cubature Kalman filter (SRCKF)algorithm is pro-posed .With innovation covariance matching techniques an adaptive SRCKF is built,which is insensitive to measurement malfunc-tions .Strong tracking adaptive SRCKF views STF as the basic theory framework and makes adaptive SRCKF to replace extended Kalman filter (EKF),so it has the advantages of STF and adaptive SRCKF .In case of model uncertainty of system and measure-ment malfunctions,the proposed algorithm has strong robustness and high accuracy .Simulation results show the effectiveness of the presented algorithm .关键词
强跟踪滤波器/平方根容积卡尔曼滤波/自适应滤波/鲁棒性Key words
strong tracking filter/square-root cubature Kalman filter/adaptive filter/robust分类
信息技术与安全科学引用本文复制引用
徐树生,林孝工,李新飞..强跟踪自适应平方根容积卡尔曼滤波算法[J].电子学报,2014,(12):2394-2400,7.基金项目
国家自然科学基金 （）
