| 基于UKF的SINS动基座传递对准研究 |
| |
| 引用本文： | 张文,薛晓中.基于UKF的SINS动基座传递对准研究[J].计算机仿真,2008,25(12). |
| |
| 作者姓名： | 张文 薛晓中 |
| |
| 作者单位： | 1. 南京理工大学泰州科技学院,江苏,泰州,225300
2. 南京理工大学瞬态物理国家重点实验室,江苏,南京,210094 |
| |
| 基金项目： | 国防科工委基金资助项目
，
南京理工大学科研发展基金资助项目(XKF05031)弹道国防科技重点实验室基金资助项目:51453060105ZS3301
|
| |
| 摘 要： | 在非线性、非高斯条件下进行动基座传递对准,如果采用卡尔曼滤波器误差会比较大而且可能会存在发散的问题,为了解决问题,引入了无迹卡尔曼滤波UKF(unscented Kalman filter).使用确定性样本的方法米处理非线性的问题,使得采样点的均值和方差完全符合实际的非线性系统的均值和方差,解决了惯性导航系统动基座传递对准在正常工作时的基本条件.采用UKF和扩展卡尔曼滤波EKF(Extended Kalman Filter)的计算机仿真结果表明:UKF与EKF相比,精度提高了2倍,时间少了10秒.
|
| 关 键 词： | 捷联惯导 传递对准 动基座 无迹卡尔曼滤波 扩展卡尔曼滤波 |
Moving Base Alignment of Inertial Navigation Systems Based on Unscented Kalman Filter |
| |
| ZHANG Wen,XUE Xiao-zhong.Moving Base Alignment of Inertial Navigation Systems Based on Unscented Kalman Filter[J].Computer Simulation,2008,25(12). |
| |
| Authors: | ZHANG Wen XUE Xiao-zhong |
| |
| Affiliation: | ZHANG Wen 1,XUE Xiao-zhong2(1.Taizhou Institute,Nanjing University of Science , Technology,Taizhou Jiangsu 225300,China,2. National Key Laboratory of Transient Physics,Nanjing Jiangsu 210094,China) |
| |
| Abstract: | Unscented Kalman Filter is generally introduced to solve the great error and even divergent problem caused by adopting Kalman Filtering in moving base transfer alignment under nonlinear and non-Gaussian condition. The paper uses a deterministic sampling approach to deal with the nonlinear systems. Thus the sample points completely capture the true mean and covariance of the nonlinear systems , and the postulate that can make moving base alignment in strapdown inertial navigation system run normally is solve... |
| |
| Keywords: | Strapdown inertial navigaition systems(SINS) Transfer alignment Moving base Unscented Kalman filter(UKF) EKF |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
