GPS Single Epoch Algorithm And Its Application In Disaster Monitoring

Due to the sudden deformation of geological disasters and great harmfulness, we must monitor its deformation and development to make diagnoses timely and accurately and put forward prevention and treatment measures of disasters early. Therefore, the Real-time, accurate monitoring of paroxysmal geological disasters has vital impact on finding the deformation and timely disaster prevention, which requires GPS monitoring should have real-time or quasi real-time dynamic monitoring capabilities. In order to meet the requirements of the instantaneity and accuracy and the premise of saving monitoring costs, we should carry out further research which is the biggest obstacle affecting its application for high accuracy real-time dynamic monitoring, such as the quick fixed techniques of the integer ambiguity, the elimination and weaken technology of GPS observation error under severe conditions and rapid forecasting techniques. This article describes the several issues, several studies are carried out as follows:1)In the event that the single epoch normal matrix ill conditioned and LS float solution undependable, we use TIKHONOV regularization matrix to improve the characteristic spectral of the normal matrix and introduce TEC changes to check its accuracy. The example shows the method can improve the fidelity of float solution and increase the successful rate of the fixed ambiguity.2) The setting of single epoch ambiguity search space big or small may result in low efficiency or the inability to search the correct ambiguity, so a more credible and easy access of initial phase ambiguity solution in single epoch will greatly improve the search efficiency and reliability.we combined wide lane phase minus narrow lane pseudorange (Melbourne-Wubbena) and non-geometric effects (Geometry-Free) to obtain the initial phase ambiguity and put forward a new kind of ambiguity search method using the ratio of the phase ambiguity residuals and the arccosine of the Mader functions of the best ambiguity and second best ambiguity as the conditional judgment.3)Adaptive robust Kalman filtering technology was applied to the single epoch prediction, poor adaptive filter due to boycott the abnormal condition, which can reject the influence of abnormalities and odd observations and improve the prediction precision and solution.4) we development a preliminary convenient, friendly interface single epoch/number epochs positioning software system based on the mathematical model, which can analysis deformation information using single epoch/number epochs observations and meet the real-time monitoring of real-time/quasi-realtime requirement.