随机游动模型下系统误差补偿算法研究

System Error Compensation Algorithm in the Presence of Random Walk

  • 摘要: 采用地球同步静止卫星的观测数据,通过批处理方法及EM算法分别加以处理。利用偏度、峰度正态性检验方法对批处理方法所得的残差进行正态性检验,鑫诺卫星观测数据中不仅含有偶然误差,还存在系统误差等,批处理方法在处理含有系统误差的观测数据时所得的结果不可靠。相对于批处理方法,利用随机游动模型描述系统误差,基于数字滤波方法的EM算法在处理含有系统误差数据时具有可行性,在一定程度上达到了提高数据处理精度的目的。

     

    Abstract: The batch method and EM algorithm have been used to process the observational data of geostationary communication satellite.Using the inspection methods of skewness and kurtosis to test the normality of residuals processed by batch methos.In this case,the observation datas of Xinnuo statellite containing not only accidental errors,but also systematic errors.Batch method in dealing with systematic errors of observation data,the results are not reliable.Compared with the batch method,using random walk model to describe the system error,EM algorithm based on digital filtering method with systematic errors in the data processing is feasible,reached a certain extent,improved the precision of the data processing.

     

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