计算机与数字工程2018，Vol.46Issue(3)：471-474,4.DOI:10.3969/j.issn.1672-9722.2018.03.010
衰减记忆平方根容积卡尔曼滤波及其应用
Memory Attenuation Square-root Cubature Kalman Filtering and Its Application
摘要
Abstract
Calculation error and model error are two main factors which cause the divergence of cubature Kalman filter (CKF),and square-root cubature Kalman filter(SCKF)algorithm can only restrain the calculation divergence.To restrain the fil?tering divergence caused by model error,the square-root cubature Kalman filtering algorithm based on memory attenuation (MASCKF)is proposed.In which,a weighted index is introduced as the attenuation factor to enhance the use of the current mea?surement data. Finally,the algorithm proposed is applied to target tracking filtering of optical tracking system. The simulation re?sults show that,MASCKF algorithm can effectively suppress the filtering divergence caused by model error,and the effect of filter?ing is better than SCKF algorithm.关键词
平方根容积卡尔曼滤波/衰减记忆/光电跟踪/目标跟踪Key words
square-root cubature Kalman filtering/memory attenuation/photoelectric tracking/target tracking分类
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杨旺明..衰减记忆平方根容积卡尔曼滤波及其应用[J].计算机与数字工程,2018,46(3):471-474,4.
