摘要
基于自适应估计原理和抗差M估计原理,提出了自适应序贯平差和自适应抗差序贯平差法,给出了相应的参数估值公式。计算结果证明,自适应序贯平差能有效地控制模型参数先验信息的异常影响,平衡观测值和参数先验值在参数估计中的贡献;自适应抗差序贯平差能有效地抵制观测异常和模型参数先验信息异常扰动对平差结果的影响。
The adaptive sequential adjustment and the adaptive robust sequential adjustment are presented based on adaptive filtering and robust estimation principle. The estimation formula of the parameters for both the adaptive sequential adjustment and the adaptive robust sequential adjustment are derived. A numerical example is given. It is shown by the theory and calculation ,that the adaptive sequential adjustment can balance the prior model informa tion and the posterior observation information, and the adaptive robust sequential adjustment is not only simple in calculation but also can efficiently control the influences of the prior information disturbing of model parameters and the measurement outliers on the estimated parameters.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2007年第1期51-54,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40474007)
关键词
序贯平差
自适应估计
抗差估计
sequential adjustment
adaptive estimation
robust estimation