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Two New Methods of Determining Weight for Multiple Observations in the Process of Jointly Adjustment

WANG Yongdi  
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.
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