Estimation Method of Observation Robustness in High Precision Geodetic Survey

Abstract

Data is the material basis for the establishment of digital cities. With the expansion of urban construction, traditional urban plane control systems are difficult to meet the needs of urban spatial geographic information collection and engineering construction. City construction provides high-precision and uniform surveying and mapping data services. The purpose of this paper is to realize the estimation method of observation robustness in high-precision geodesy. In this paper, a high-precision, wide-coverage 3D geodetic datum platform can effectively meet the needs of urban spatial digital information for urban construction. This article introduces the significance of the establishment of three technical cores and platforms of 3D geodetic datums for the construction of digital cities. For the related observations, based on the perspective of sensitivity analysis, the local sensitivity index is used to determine the equivalent of robustness estimation right. At the same time, the robustness estimation based on the equivalent weights of the residuals is extended from independent observations to related observations. Finally, the robust estimation of the equivalent weight function determined by t statistics and $\uptau$ statistics is carried out by Monte Carlo simulation and comparison analysis. The research results show that, based on the analysis of the processing results of the GPS-connected measurement plane control network, the use of robust estimation to obtain parameters is beneficial to retaining the high-precision characteristics of GPS technology.