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首页> 外文会议>Saint Petersburg International Conference on Integrated Navigation Systems >APPLICATION OF A LEARNING METHOD TO SYNTHESIZING AN ALGORYTHM FOR MONITORING THE SATELLITE NAVIGATION SYSTEM STATUS
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APPLICATION OF A LEARNING METHOD TO SYNTHESIZING AN ALGORYTHM FOR MONITORING THE SATELLITE NAVIGATION SYSTEM STATUS

机译：一种学习方法的应用综合卫星导航系统状态监控算法

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摘要

The general approach is described for application of the learning method for synthesizing an algorithm for monitoring a status of the satellite navigation system (SNS). This approach is based on checking radionavigation parameters and digital data being parts of radio signals transmitted by navigation space vehicles (NSV). In so doing, such a method is used as a main one as that of checking based on the analysis of NSV onboard times' parameters. The application of the learning method for synthesizing an algorithm for SNS monitoring enables one to significantly reduce the requirements to hardware/software resources compared to methods based on sequential search. The results are presented as regards simulation and testing a synthesized algorithm under practical conditions.
机译：描述了用于应用用于合成用于监视卫星导航系统（SNS）的状态的学习方法的学习方法。该方法基于检查RADIOPAVIGGAGE参数和数字数据是由导航空间车辆（NSV）传输的无线电信号的部分。这样做，这种方法用作基于NSV的分析的检查的主要一个。与基于顺序搜索的方法相比，在SNS监视算法中合成算法的应用，使得能够显着降低硬件/软件资源的要求。在实际条件下，在模拟和测试合成算法的情况下提出了结果。

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