中国空间科学技术

• • 上一篇    下一篇

基于UPF的修正罗德里格参数卫星姿态估计

牟忠凯;隋立芬;黄贤源;   

  1. 信息工程大学测绘学院;
  • 发布日期:2009-12-25

Satellite Attitude Estimation Using MRPs Based on UPF

Mou Zhongkai Sui Lifen Huang Xianyuan(Institute of Survey and Mapping,Information Engineering University,Zhengzhou 450052)   

  • Online:2009-12-25

被引次数

9

摘要： 粒子滤波(PF)在卫星姿态估计中解决了非高斯分布的情况,在粒子滤波的基础上,利用修正罗德里格参数(MRPs)表示姿态,用动力学方程进行角速率的传播,提出将采样粒子滤波(UPF)算法应用到基于MRPs的卫星姿态估计中,该方法通过UKF得到粒子滤波的重要性采样函数,更充分地利用了最新的量测信息。仿真结果表明,这种基于UPF的姿态估计方法能够获得比UKF和标准PF更高的滤波精度,并且具有更好的滤波稳定性。

关键词: 采样粒子滤波, 姿态确定, 修正罗德里格参数, 卫星

Abstract: Based on particle filtering(PF),unscented particle filter(UPF)was proposed for satellite attitude estimation based on modified rodrigues parameters(MRPs) and dynamic equation for attitude representation and the propagation of angular velocity respectively.The unscented kalman filter(UKF) was used to generate sophisticated proposal distributions,which can take advantage of the latest measurements.The simulation results show that the presented method has higher accuracy than that of the standard PF and UKF.