地理空间信息2013，Vol.11Issue(2)：140-142,3.DOI:10.11709/j.issn.1672-4623.2013.02.046
2种新的多种观测量联合平差定权方法
Two New Methods of Determining Weight for Multiple Observations in the Process of Jointly Adjustment
摘要
Abstract
Helmert algorithm has been extensively utilized to estimate the variance components from which the weight of the observations could be identified in a surveying adjustment system. However, the non-convergence of Helmert algorithm has been found in some reality applications. Therefore, we suggested to using entropy theory and variation coefficient to estimate the weight coefficients for different types of observations, the same type of observations with different or same observation accuracy. Numerical experiments made in this study verified that the proposed approach outperforms the Helmert algorithm to provide improved adjustment results.关键词
Helmert方差分量/测量平差/信息熵权/变异系数Key words
Helmert variance component/ surveying adjustment/information entropy/ the coefficient of variation分类
天文与地球科学引用本文复制引用
王永弟,丁海勇..2种新的多种观测量联合平差定权方法[J].地理空间信息,2013,11(2):140-142,3.基金项目
江苏省高校自然科学研究资助项目(1KJB420002) （1KJB420002）
南京信息工程大学科研基金资助项目(S8110063001) （S8110063001）
