The Research Of GPS High Accuracy Deformation Monitoting Data Processing

As deformation widely existing in nature, deformation monitoring is the most effective means of gaining the distortion information. Through comprehensive analysis of observed data of the deformation monitoring, the goal to understand the deformation conditions, to analyze the causes of distortion, to forecast and predict deformation is achieved, thereby reducing the threat before it materializes. GPS technology plays more and more important role which traditional measurement cannot match with in the deformation monitoring with virtues of continuity, real-time and high automation, and so on. It becomes one of the most important technical means in local area deformation monitoring. A prerequisite for obtaining real deformation information is to choose appropriate data processing methods; it’s possible to determine the security situation of deformation body, to provide a reasonable explanation for deformation, to master the deformation development trend only on the foundation of getting deformation information, which is in line with the objective actuality. GPS data processing deals mainly with the solution and precision analysis of initial coordinates, high accuracy baseline processing of GPS data, establishing the high accuracy monitoring reference net, high precise GPS network adjustment. This paper revolves the relative problems of high accuracy baseline processing, deformation forecast based on four continuously operating reference stations(CORS) in the case of Guizhou province.1.The first section expounds systematically the measuring principle of GPS,the installation and data processing flow of GAMIT/GLOBK,the reference framework and its united reference frame in high accuracy GPS processing, the data processing method of deformation monitoring net.2. Considering deformation monitoring data cannot avoid the influence of sound pollution and grey system model has its own advantage in deformation forecast, algorithm of wavelet threshold de-noising and modeling principle of grey system model are presented in order to improve the forecast accuracy. According to the cycle inconsistence in deformation monitoring, the modeling method based on non-isometric grey system model is researched.3. GAMIT is used to solute the GPS baseline under various schemes, according to the amount and distribution of IGS station based on four continuously operating reference stations(CORS) in the case of Guizhou province. By comparing accuracy of different schemes baseline solution is put forward about research district.4.According to the ephemeris timeliness of final precise IGS, various products of IGS ephemeris was used to make precision analysis, The following preliminary conclusions have been come to: The high-precision baseline vector of IGR and IGU ephemeris products in the study area was also available which can be obtained only by IGS.5. Aiming at the CORS stations’ antenna types, through setting different options, discussed the need to correct the antenna phase center, and described the correct method of antenna phase center.6. Got high-precision baseline vector, based on respectively COSA and GLOBK software adjustment and deformation analysis, received results of the displacement velocity field of the study area.7.In view of the fact that observation interval data inconsistencies for the four-cycle study area CORS station,at first,wavelet thresholding denoising method was used to reduce noise, then the use of non-equidistant GM model to model, to achieve a deformation prediction CORS station displacement.