摘要
为了说明半参数模型在测量数据处理中的应用,分析了系统误差性质对半参数模型解算结果的影响,探讨了半参数模型处理系统误差的适用条件,并设计一组模拟算例进行验证。解算结果表明:当系统误差的数量级与偶然误差的数量级相差不大、系统误差的频率比较小且与观测值频率之间的相关性比较小时,半参数模型才能有效地处理观测值中存在的系统误差项,消除或者削弱系统误差对观测值的影响。
In order to explain the application of the semiparametric model in surveying data processing, the effects of the systematic errors＇ characteristics on the quality of the results were analyzed, the conditions for applying semiparametrie model to handle systematic errors were discussed, and a set of simulated examples based on semiparametrie model were designed. The simulated results show that if the magnitude of systematic errors is not significantly bigger than random errors, the frequency of systematic errors is not very high and has no relationship with that of the observations, the semiparametrie model can be used for processing the systematic errors and improve the accuracy of data processing.
出处
《大地测量与地球动力学》
CSCD
北大核心
2009年第4期93-96,101,共5页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(40604001)
地理信息科学教育部重点实验室开放研究基金
关键词
半参数模型
参数模型
平滑因子
正则矩阵
系统误差
semiparametric models
parametric models
smoothing parameter
regular matrix
systematic errors
