摘要
针对捷联成像寻的器的惯性视线重构问题,提出了一种基于自适应中心差分卡尔曼滤波(ACDKF)的惯性视线重构滤波器的设计方案。首先针对弹体本身的模态特性,结合CDKF非线性滤波理论,设计弹体姿态估计器实现弹体姿态的实时更新,然后利用弹体姿态估计的统计特性,结合Saga-Husa时变噪声估值理论,给出ACDKF惯性视线重构滤波器的设计方案。数字仿真结果表明,在已知速率陀螺组合测量特性的条件下,该算法有效提高了捷联寻的器惯性视线信息的提取精度,为捷联成像寻的系统的惯性视线重构开辟了一种新的处理途径。
The method of inertial line of sight （LOS） and inertial LOS rate reconstruction in strapdown imaging homing system was investigated. Based on adaptive central difference Kalman filter （ACDKF）, a novel ACDKF inertial LOS reconstruction filter was proposed to obtain more precise inertial LOS and LOS rate information. Instead of conventional attitude updating algorithms, a CDKF attitude estimator was constructed firstly, where the motion characters of missile attitude was applied effectively. And then the inertial LOS reconstruction filter was designed to obtain more precise inertial LOS information by using the outputs of the proposed attitude estimator, where the CDKF and Saga-Husa timevarying noise statistics estimation method were applied. The results of computer simulations confirm the validity of the proposed inertial LOS reconstruction filter, which can be used to improve the accuracy of inertial LOS and LOS rate estimation. Thus it can be used as an effective method to inertial LOS and LOS rate estimation problem of strapdown imaging homing system.
出处
《红外与激光工程》
EI
CSCD
北大核心
2008年第3期400-405,共6页
Infrared and Laser Engineering
基金
国家自然科学基金资助项目(60674043)
关键词
捷联成像寻的器
成像制导
非线性滤波
视线重构
中心差分卡尔曼滤波
Strapdown imaging seeker
Imaging guidance
Nonlinear filter
LOS reconstruction
Central difference Kalman filter
