基于扩展卡尔曼滤波器的卫星平面轨道估计  

Satellite Plane Orbit Estimation Based on Extended Kalman Filter

作　　者：蒋虎 李天姣 任波[1] JIANG Hu;LI Tianjiao;REN Bo(School of Equipment Engineering,ShenyangLigong University,Shenyang 110159,China)

机构地区：[1]沈阳理工大学装备工程学院

出　　处：《成组技术与生产现代化》2019年第1期31-36,共6页Group Technology & Production Modernization

摘　　要：鉴于卫星平面轨道运动观测情况与真实的卫星平面轨道运动存在偏差,针对卫星平面轨道这一非线性系统,采用扩展卡尔曼滤波器(EKF)进行估计.扩展卡尔曼滤波器是一种围绕滤波值将非线性系统线性化的滤波方法,利用扩展卡尔曼滤波器能够准确描述卫星平面轨道运动的特性.仿真结果表明,经扩展卡尔曼滤波处理,卫星平面轨道的观测值更接近其真实值.When the satellite moves in orbit,it is affected by various external forces and noise,and the radar's measurement of the satellite orbit also contains errors,which leads to deviations between the observed satellite plane orbital motion and the real satellite plane orbital motion.In this case,the nonlinear system for satellite plane orbit motion is estimated by the extended Kalman Filter (EKF) algorithm.The extended Kalman filter is a filter method that linearizes a nonlinear system around the filtered value,which fully describes the characteristics of the orbital motion of the satellite plane.The simulation results show that the satellite plane orbit after extended Kalman filter is closer to the true value,which indicates that the filtering algorithm is suitable for the estimation of satellite plane orbit and can ensure the estimation accuracy,which is feasible in experiments and engineering applications.

关 键 词：扩展卡尔曼滤波器 卫星平面轨道 轨道估计 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]