Pico-satellite Autonomous Navigation with Magnetometer and Sun Sensor Data

作     者：HAN Ke WANG Hao TU Binjie JIN Zhonghe 

作者机构：Department of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2011年第24卷第1期

页      面：46-54页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 0801[工学-力学（可授工学、理学学位）] 

基　　金：New Century Program for Excellent Talents of Minis-try of Education of China (NCET-06-0514) China Postdoctoral Science Foundation (20081458, 20080431306) 

主　　题：pico-satellite autonomous navigation orbit estimation magnetometer Kalman filter 

摘      要：This article presents a near-Earth satellite orbit estimation method for pico-satellite applications with light-weight and low-power requirements. The method provides orbit information autonomously from magnetometer and sun sensor, with an extended Kalman filter （EKF）. Real-time position/velocity parameters are estimated with attitude independently from two quantities： the measured magnitude of the Earth’s magnetic field, and the measured dot product of the magnetic field vector and the sun vector. To guarantee the filter’s effectiveness, it is recommended that the sun sensor should at least have the same level of accuracy as magnetometer. Furthermore, to reduce filter’s computation expense, simplification methods in EKF’s Jacobian calculations are introduced and testified, and a polynomial model for fast magnetic field calculation is developed. With these methods, 50% of the computation expense in dynamic model propagation and 80% of the computation burden in measurement model calculation can be reduced. Tested with simulation data and compared with original magnetometer-only methods, filter achieves faster convergence and higher accuracy by 75% and 30% respectively, and the suggested simplification methods are proved to be harmless to filter’s estimation performance.