二次多项式模型和灰色理论模型在接收机钟差预报中的应用和比较

Application and comparison of quadratic polynomial model and grey theory model in prediction of receiver clock bias

为了更好地对接收机钟差作科学、准确的预报,基于实验室解算出的接收机钟差数据,分别采用二次多项式模型和灰色理论模型对接收机钟差进行了预报和分析。预报结果及其比较表明,对于需要用少量接收机钟差数据建立预报模型时,灰色理论模型预报不论是单点预报还是多点(30个点)预报,其预报精度都优于二次多项式预报模型,可以在实际工作中应用。

In order to make a more scientific and accurate prediction of the receiver clock bias, we adopted the quadratic polynomial model and the grey theory model respectively to predict and analyze the receiver clock bias based on the calculated clock bias data obtained from the laboratory. The prediction and comparison show that in case of needing establishing the prediction model with a small amount of receiver clock bias data, the forecast precision of grey theory model is better than that of quadratic polynomial model, for both of single point prediction and multipoint(30 points) prediction, and the grey theory model can be used in practical work.