adjustment al gorithm about observation data with uncertain
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摘要: 通过把不确定度作为参数融入到函数模型建立了不确定性平差模型 依据残差中不确定性传播规律确定了残差最大不确定度达到最小的平差准则利用迭代算法得到了不确定性平差模型的解算方法 通过实例分析了最小二乘平差整体最小二乘平差和不确定性平差准则下最优解的不同特点Abstract: uncertainty often exists in the collection of measurement dataand affects the reliabilit y ofparameter estimation．this paper establishes a new ad justment model in which uncertainty is incor porated into the function model as a parameter．a new ad justment criterion and its iterative al gorithmare given based on uncertainty propagation law in the residual errorin which the maximum possibleuncertainty is minimized．this paper also presents anal yzes with examples of different ad justmentcriteria and the features of optimal solutions using least －squares ad justmentuncertainty ad justmentand total least －squares ad justment．error theor y is extended with a new observational data processingmethod for uncertainty
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