摘要
通导共生是指通信和导航信号共存于卫星生态环境中。针对定位或通信的单一功能低轨卫星星座,在定位或通信信号不可用时难以快速进行定位管理的难题,提出了应用扩展卡尔曼滤波器算法,对低轨卫星通导共生星座的机会信号进行定位解算,突破定位管理对单一导航系统的依赖。首先,介绍了卡尔曼滤波的基本原理,结合低轨卫星多星座定位管理算法,提出了一种基于机会信号的卡尔曼滤波定位管理算法;其次,分析了所提算法的优点,包括提高定位精度、提高定位效率、提高定位稳定性等;最后,进行了实验,验证了所提算法的有效性。结果表明,所提算法能够有效地提高定位精度、定位效率、定位稳定性,为低轨卫星通导共生星座定位管理提供了一种有效的解决方案。
Communication and navigation symbiosis refers to the coexistence of these signals in the satellite ecological environment.For single-function low-orbit satellite constellations for positioning or communication,it is difficult to quickly perform positioning management when positioning or communication signals are unavailable.The extended Kalman filter(EKF)algorithm was proposed to solve the location of the opportunity signals of LEO communication navigation symbiosis constellations,breaking through the dependence of location management on a single navigation system.Firstly,the basic principle of Kalman filter was introduced,and a Kalman filter location management algorithm based on opportunity signal combining with the positioning management algorithm of LEO satellite constellation was proposed.Secondly,the advantages of this algorithm were analyzed,including improving positioning accuracy,improving positioning efficiency,improving positioning stability,etc.Finally,experiments were carried out to verify the effectiveness of the algorithm.The results show that the algorithm can effectively improve the positioning accuracy,efficiency and stability,and provides an effective solution for LEO communication navigation symbiosis constellation location management.
作者
沈洁
刘晖
饶建兵
贺泉
本立言
王治中
熊瀛
SHEN Jie;LIU Hui;RAO Jianbing;HE Quan;BEN Liyan;WANG Zhizhong;XIONG Ying(Beijing ZeroG Space Technology Co.,Ltd.,Beijing 100084,China;State Key Laboratory of Satellite Internet,Beijing 100029,China)
出处
《电信科学》
2023年第9期122-128,共7页
Telecommunications Science
关键词
全球导航卫星系统
通导共生
位置管理
机会信号
功率谱密度
惯性导航系统
扩展卡尔曼滤波器
global navigation satellite system
communication and navigation symbiosis
location management
signal of opportunity
power spectral density
inertial-navigation system
extended Kalman filter
