A Real-Time Detecting Method for Abnomal Positioning Data Based on Variance Component Estimation
Jun Qi, Bao Jingyang · 2010
On the basis of analyzing the requirement on the positioning data real-time processing and the character of abnomal data in hydrographic survey,a real-time detecting model for abnomal data,which is based on Helmert variance component estimation and the position predictive information,was proposed.The numerical results indicated that this model could not only detect the abnomal positioning data,but also improve the deviation of the dynamics model.The new method was more reliable and valid than other methods in real-time positioning data detection in hydrographic survey.