摘要
:CCD星跟踪器作为飞行器的姿态测量仪器有许多优点 ,它必须有一种全天自主星图识别算法来支持其工作。现有的星图识别算法都可以认为是一种模式识别 ,本文将星图识别视为一种组合优化问题 ,并用遗传算法来求解它。仿真结果表明与现有星图识别算法相比 ,本文算法具有良好的鲁棒性和实时性 ,且所需导航星数据库的容量小。
As a spacecraft attitude measurement instrument,CCD star tracker has a lot of advantages.But it needs an all-sky autonomous star map identification al gorithm to support its operation.The existing star map identification algorithm can be considered as a mode identification method.The article considers the sta r map identification as a combined optimal problem and tries to solve it by mean s of genetic algorithm.The simulation results show that compared with the exist ing star map identification algorithm,the algorithm presented in the paper has the advantages of robust and real time properties and it only needs a sams sized dat abase.
出处
《光电工程》
CAS
CSCD
2000年第5期15-18,共4页
Opto-Electronic Engineering
关键词
CCD星跟踪器
星图识别
遗传算法
导航星数据库
CCD star trackers
Star-field identification
Genetic alg orithm
Database of guide star
