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APPLICATION OF BAYES ESTIMATION BASED ON ROBUST CYCLIC SEARCHING IN CRUSTAL DEFORMATION ANALYSIS

When combining geophysical information with geodetic observation for crustal deformation analysis there may be unreliable parameters.The Bayes estimation based on robust cyclic searching is proposed,in which the deformation predicted by geophysical model as priori information in geodetic (GPS) measurements processing is used and the cyclic searching is adopted to modify improper priori information. Taking into account the abnormal observation station moving or outliers in measurements may influences the searching results, we calculate searching functions from selected stable stations by robust cyclic searching. The new method is applied in a GPS monitoring net. It is shown that the robust cyclic searching is effective in modifying priori information and improving the accuracy of model parameter.