参数先验信息异常的影响与平差补偿  

The compensation with adjustment and influence of the outliers in the prior parameters

作　　者：曾安敏[1] 张丽萍[2] 崔吉春 

机构地区：[1]长安大学地测学院,西安710054 [2]郑州信息工程大学测绘学院,郑州450052 [3]西安测绘信息技术总站,西安710054

出　　处：《测绘科学》2008年第2期35-37,共3页Science of Surveying and Mapping

基　　金：国家自然科学基金(40274002和40474001);地球空间与大地测量教育部重点实验室开放基金(1469990324233-04-11)

摘　　要：若参数先验信息含有异常信息,必然造成序贯平差参数估值及其协方差的扭曲。本文首先分析了先验信息异常对参数结果的影响,然后通过对先验信息异常进行判断,再有针对性地引入部分附加参数,通过函数模型补偿法控制先验信息异常误差的影响。实测GPS算例表明,通过该方法能有效地抵制参数先验信息异常的影响。The sequential adjustment probably makes parameters and their posterior covarianee unreliable if there are outliers in the prior parameters. In this paper, after analyzing the influence of the outliers on parameters in the prior parameters, and in order to control their influence, the author conduct an adjustment compensation method in detail. The extra-parameters are added in the function model if outliers in the prior parameters are found. A GPS case is given to show that the compensation method can control the influence of the outliers efficiently in the prior parameters.

关 键 词：序贯平差 模型误差 先验信息异常 函数模型 补偿 

分 类 号：P22[天文地球—大地测量学与测量工程]