Gaussian Sum Particle Filter for Spacecraft Attitude Estimation

摘要：

A novel and efficient spacecraft attitude estimation method using Gaussian Sum Particle Filter is proposed based on vector observations. The attitude is represented by quaternion, and the local error is represented by the modified Rodrigues parameters. Gaussian mixture model is used to approximate the posterior density of the state, and the state update is carried out by sampling based methods. Meanwhile Expectation Maximization algorithm is introduced to avoid the collapsing of Gaussian mixture terms. The efficiency of Gaussian sum particle filter estimator for spacecraft attitude is validated by numerical simulation. The simulation results show that Gaussian mixture particle filter is superior to Particle Filter and Unscented Kalman Filter for spacecraft attitude estimation.

关键词： Gaussian sum particle filter quaternion attitude

作者: Shaodong YANG Desheng WEN Jing SUN Junyong MA

作者单位: The Space Optical Technology Research Department Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences Xian ,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 2247-2251

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）