基于聚类的星座卫星可用性分选方法

卫星可用状况会随时间发生变化,为了实现对卫星工作情况的监控,应经常对目标卫星进行分析。通过实际侦收卫星信号确定卫星可用状况是最可靠的方法,但这种方法工作量大、周期长、效率低、实时性差。为了解决这一问题,本文提出一种运用聚类算法的卫星可用状况快速分选方法。该方法利用从互联网下载的最新轨道参数,根据卫星轨道特性方面的差别进行自动分选,具有速度快、人工干预少的优点。将这种方法用于铱星星座分选,分选正确率可达80.44%。

Usability Selection Approach for Constellation Satellites Based on Clustering

Frequent analysis should be performed on target satellites for monitoring of their operation state since their usability may change with time.The approach based on detecting satellite signals has the disadvantages of heavy workload,long cycle,low efficiency and poor real-time performance although it is the most reliable one.To solve this problem,this paper presents a fast usability selection approach for constellation satellites using clustering algorithm.Using the latest orbit parameters downloaded from th...