一种利用泛函网络进行导航卫星钟差预报的方法研究

Research on the Navigation Satellite Clock Error Prediction Using Functional Network

为提高导航卫星钟差预报的精度和实时性,提出一种基于多项式和泛函网络相结合的钟差预报方法。该方法首先根据卫星钟的物理特性用多项式进行拟合,并用泛函网络对多项式拟合残差进行建模,其中泛函网络的结构是通过小波降噪及相空间重构的方法确定。最后以GPS卫星为例,进行四组短期预报实验。结果表明,所提方法能够实时有效地对导航卫星钟差进行拟合和预报,且精度优于IGU-P星历。

n order to improve the prediction accuracy and real-time performance of the navigation satellite clock error, a satellite clock error prediction method based on the combination of polynomial model and functional network is proposed in this paper. Firstly a polynomial model is used to fit the clock error series according to its physical property, and then the polynomial fitting residual is modeled based on the functional network, while the functional network structure is defined by using wavelet denoising and phase space reconstruction. Finally the GPS satellites are taken for example and four short-term prediction tests are done, and the simulation results show that the proposed method can be used to fit and predict the clock error series effectively, whose prediction accuracy is better than that of IGU-P ephemeris.