摘要
通过复杂环境下假星模拟,研究假星数目及K矢量查找角距阈值ε对星图识别成功率的影响,采用惯性数据辅助识别的方法,改善了星图识别的成功率。星图识别仿真结果表明,存在假星情况下,假星数目的增加及K矢量查找角距阈值ε的增大会降低星图识别成功率,假星数为7,ε取8″时,成功率仅为42.7%;惯性数据辅助识别相较于传统星图识别成功率在ε取5″、6″典型值时分别提高约29%和54%,识别成功率由传统方法的70%左右提升到99%以上,为工程应用提供了理论支撑。
Through the simulation of false stars in a complex environment,the influence of the number of false stars and the K vector search angular distance threshold ε on the success rate of star map recognition is studied. The inertial data assisted recognition method is used to improve the success rate of star map recognition. Star map recognition simulation results show that the increase in the number of false stars and the increase in the K vector search angle distance threshold ε can reduce the success rate of star map recognition in the presence of false stars. When the number of false stars is 7,ε is 8″,the success rate is only 42. 7%;By comparing with the traditional star map recognition,the recognition success rate with inertial data is increased by about 29% and 54% when the typical value of ε is 5″ and 6″,and the recognition success rate is increased from about 70% to 99% by applying traditional methods. This method can be served as theoretical support for engineering applications.
作者
王晋麟
吕建强
陈凯
程晓明
Wang Jinlin;Lv Jianqiang;Chen Kai;Cheng Xiaoming(Beijing Aerospace Automatism Control Institute,Beijing 100854,China;School of Aeronautics,Northwestern Polytechnical University,Xi*an 710072,China)
出处
《航天控制》
CSCD
北大核心
2021年第2期51-56,68,共7页
Aerospace Control
关键词
轨道转移飞行器
假星干扰
星图识别
K矢量查找
惯性数据辅助
Orbit transfer vehicle
False star interference
Star map recognition
K vector search
Inertial data assistance
