一种利用已识别信息的星图识别算法

A STAR CHART IDENTIFICATION ALGORITHM USING IDENTIFIED INFORMATION

星图识别是星敏感器研究中的关键技术之一。现有的算法都是对每一个观测星在未知任何信息的情况下进行识别,而没有利用已经识别的观测星信息。如果利用已经识别的观测星信息,则可以大量减小其余星识别的计算量。研究利用已识别的观测星信息进行其余星的识别。给出了导航星库的建立方法和数据结构,以及已知3颗以上观测星时其余星的识别过程。提出的识别算法的导航星库只需要星对角距信息,存储量小,经对模拟星图的识别,其余星的平均识别时间为3.34m s,小于现有的识别算法。

Star chart identification is one of the key technologies in star sensor research.Existing identification algorithms are all those that to identify every observing star in the circumstance of knowing nothing and without utilising the information of the identified stars.If these information are in use,the computational complexity of identifying the rest stars will be significantly reduced.This paper researches the identification of the rest stars using the information of the identified stars.The establishment approach and the data structure of the guide star catalogue are presented as well as the identification process of the rest stars using the information of 3 or more identified stars.The identification algorithm presented in this paper only uses the interstellar angles for guide star catalogue so that the storage capacity required is small.According to the identification experiments on emulational CCD star maps,the average identification time of identifying the rest stars is 3.34ms,which is shorter than existing methods.