船测数据非平稳误差的小波预测方法

船测数据的处理精度极大程度地决定了我国航天测控的能力。分析表明,船测数据的混合误差是由次低频的修正残差和高频的随机误差组成的非平稳时间序列。为改进现有修正方法的效果,分析了修正残差和白噪声的小波变换系数特征,并提出了基于小波理论和时序建模技术的混合误差的预测方法。实例和仿真结果表明,该方法比直接使用时序方法的预测误差更小。

Forecasting for non-stationary errors of ship-measured data based on wavelet

The precision of the space instrumentation ship-measured data plays a key role in the TT&C processing.Complex errors of ship-measured data are discussed,the analysis results show that the complex errors are composed of correction residual errors with secondary low frequency and random errors,which means that the complex errors are non-stationary time series.Based on wavelet theory and time series modeling,the characteristics of wavelet transformation cofficients for correction residual errors and random errors are analyzed,and a novel method of the complex errors forecast is proposed to improve the corrective results.Experiment and simulated results show that compared with the simplex time series modeling,the proposed method is a practicable and effective forecast method for non-stationary errors.