太赫兹科学与电子信息学报2017，Vol.15Issue(5)：740-744,5.DOI:10.11805/TKYDA201705.0740
降维CKF算法在大失准角传递对准中的应用
Dimension reduced CKF algorithm for transfer alignment with large misalignment angle
宋嘉钰 1杨黎明 1李东杰1
作者信息
- 1. 中国工程物理研究院 电子工程研究所,四川 绵阳621999
- 折叠
摘要
Abstract
Inertial navigation is completely autonomous, highly covert and has a high data frequency, which is widely used in airborne guided weapons. As the condition for transfer alignment may be bad during the flight, and the misalignment angle may be large, so that traditional linear model cannot accurately reflect the real situation of the system. To achieve a high alignment accuracy, nonlinear model and filter are utilized. Because nonlinear filter has a large calculation quantity and the computing power of on-board computer is limited, it is very important to reduce the calculated quantity of the filter. A dimension reduced Cubature Kalman Filter(CKF) algorithm is adopted in nonlinear transfer alignment model, and the sampling points are reduced from 30 to 6, significantly reducing the calculation quantity.关键词
捷联惯导/传递对准/容积卡尔曼滤波/降维容积卡尔曼滤波Key words
strapdown inertial navigation system/transfer alignment/Cubature Kalman Filter/dimension reduced Cubature Kalman filter分类
信息技术与安全科学引用本文复制引用
宋嘉钰,杨黎明,李东杰..降维CKF算法在大失准角传递对准中的应用[J].太赫兹科学与电子信息学报,2017,15(5):740-744,5.
