带衰减因子的自适应滤波在组合导航中的应用研究  

Research on the Applications of Adaptive Fading Filter to Integrated Navigation System

作　　者：刘永红[1] 杨孟兴[1] 吴一[1] 林洪怡 

机构地区：[1]中国航天时代电子公司第十六研究所,西安710100

出　　处：《战术导弹技术》2007年第6期68-72,共5页Tactical Missile Technology

摘　　要：从卡尔曼滤波的稳定性出发,分析了卡尔曼滤波算法发散的原因,提出了一种适合组合导航的衰减记忆卡尔曼滤波中衰减因子的自适应估计方法,并在GPS/SINS组合导航系统中进行了实验.实验结果表明,该算法能够自适应地估计出衰减因子的大小,有效地抑制滤波发散,且计算量较其它方法小.The reasons of the instability of Kalman filter are analyzed from the stability of Kalman filter, A new adaptive estimation method is presented, which is Kalman filter fading factor, and is tested in GPS/SINS integrated navigation system. The result shows the the proposed algorithm can estimate the fading factor adaptively and restrain filtering divergence. Its computation burden is less than that of other algorithm.

关 键 词：卡尔曼滤波 自适应滤波 衰减因子 组合导航 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]