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首页> 外文会议>Saint Petersburg International Conference on Integrated Navigation Systems; 20060529-31; Saint Petersburg(RU) >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：学习方法在卫星导航系统状态监测算法综合中的应用

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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：描述了用于学习方法的一般方法，该学习方法用于合成用于监视卫星导航系统（SNS）状态的算法。该方法基于检查无线电导航参数和数字数据，这些数字数据是导航航天器（NSV）发射的无线电信号的一部分。这样，作为基于NSV车载时间参数分析的检查的主要方法。与基于顺序搜索的方法相比，用于合成SNS监视算法的学习方法的应用使人们可以显着减少对硬件/软件资源的需求。给出了有关仿真和在实际条件下测试综合算法的结果。

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