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Improving prediction precision of navigation satellite clocks with functional network

机译:通过功能网络提高导航卫星时钟的预测精度

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In order to be utilized particularly in describing the periodic variation behavior of the navigation satellite clocks, a novel prediction method based on the functional network is proposed in this paper. The method of non-mechanism modeling is adopted, using the sliding window techniques and high non-linear mapping of functional network, which can access linear or nonlinear coupling characteristics of satellite clock behavior. The GPS satellites are taken for example, simulation results show that the prediction precision of the proposed method is even outperforms the IGU-P solutions at least on a daily basis.
机译:为了专门用于描述导航卫星时钟的周期性变化行为,提出了一种基于功能网络的新型预测方法。采用非机制建模的方法,利用滑动窗口技术和功能网络的高非线性映射,可以访问卫星时钟行为的线性或非线性耦合特性。以GPS卫星为例,仿真结果表明,该方法的预测精度至少每天都优于IGU-P解决方案。

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