基于卡尔曼滤波的北斗卫星自主定轨算法研究  

Research on Beidou satellite autonomous orbit determination based on Kalman filter

作　　者：王子琦 贺治钧 赵琦[1] Wang Ziqi;He Zhijun;Zhao Qi(School of Electronic and Information Engineering,Beihang University,Beijing 100191,China)

机构地区：[1]北京航空航天大学电子信息工程学院

出　　处：《电子测量技术》2018年第10期70-75,共6页Electronic Measurement Technology

摘　　要：目前,我国的北斗卫星导航系统主要依赖地面站对卫星的数据进行处理、轨道控制。但在某些特殊情况下,卫星地面主控站因被摧毁而不能持续与卫星进行通信。这就需要发展卫星的自主定轨技术,以实现导航星座的自主运行。基于此,本文对传统的扩展卡尔曼滤波算法进行了分析仿真,进而讨论了两种可以对观测噪声误差进行实时估计的算法：IREKF算法和Sega自适应滤波算法。对比了各种算法的优劣,提出了适用于完整北斗星座的滤波估计算法。Nowadays,Beidou satellite navigation system relies on the ground station to processing data and controlling orbit.But under some adverse situation,ground station could be easily destroyed and cannot continue to communicate with the satellite.Therefore,it is necessary to develop autonomous orbit determination technology to realize autonomous operation of the satellite navigation system,Based on this,this paper analyzed the pros and cons of traditional extended Kalman filter.This paper proposed two ways to improve the problem of traditional EKF which is relevant to the variance of inter-satellite measurement.The methods proposed could dynamically estimate the measurement variance and thus improve the reasonableness and robustness of autonomous satellite system.

关 键 词：自主定轨 北斗卫星 卡尔曼滤波 

分 类 号：TN967.1[电子电信—信号与信息处理]