| 基于最小偏度采样的卫星自主导航SRUKF算法 |
| |
| 引用本文： | 李丹,刘建业,熊智,熊剑.基于最小偏度采样的卫星自主导航SRUKF算法[J].南京航空航天大学学报,2009,41(1). |
| |
| 作者姓名： | 李丹 刘建业 熊智 熊剑 |
| |
| 作者单位： | 南京航空航天大学自动化学院,南京,210016 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| |
| 摘 要： | 针对航天器自主导航系统对可靠性、精确性和实时性的要求,将最小偏度采样策略和平方根Unscented卡尔曼滤波(SRUKF)算法相结合,提出了一种改进型SRUKF算法,该算法在保证滤波精度和标准Unscented卡尔曼滤波(UKF)算法相当的条件下,通过引入最小偏度采样减少了采样点数,提高了计算速度,以协方差阵的平方根代替协方差阵参加递推运算,减少了计算机舍入误差.将该算法应用于磁强计/雷达高度计组合导航系统中,仿真结果表明:该算法保证了估计精度,较大地减轻了计算负担,具有算法简单、计算效率较高的特点,能够满足卫星自主导航系统的要求.
|
| 关 键 词： | 自主导航 轨道确定 非线性滤波 平方根UKF |
Square Root Unscented Kalman Filter for Satellite Autonomous Navigation System Based on Minimal Skew Simplex Transformation |
| |
| Li Dan,Liu Jianye,Xiong Zhi,Xiong Jian.Square Root Unscented Kalman Filter for Satellite Autonomous Navigation System Based on Minimal Skew Simplex Transformation[J].Journal of Nanjing University of Aeronautics & Astronautics,2009,41(1). |
| |
| Authors: | Li Dan Liu Jianye Xiong Zhi Xiong Jian |
| |
| Institution: | College of Automation Engineering;Nanjing University of Aeronautics & Astronautics;Nanjing;210016;China |
| |
| Abstract: | A modified square root Unscented Kalman filter(SRUKF) is presented for the satellite autonomous navigation system to satisfy the reliability,accuracy and real time requirements of the system.The filter uses the minimal skew simplex transformation to reduce the number of the sigma points,so it can improve the calculating speed.The covariance matrix is replaced by its root form to decrease the rounding off error.The algorithm is used in the integrated navigation system composed of magnetometers and radar alti... |
| |
| Keywords: | autonomous navigation orbit determination nonlinear filter square root UKF |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
