GPS Self-adaption Data Correction Based on the Data Change Rate

Abstract

As GPS data is affected by various factors, subsequent pretreatment is extremely important. The current GPS data preprocessing algorithms have prevalence of inefficient, pertinence and other defects, causing that the local details of the GPS positioning accuracy is not enough. In order to improve the efficiency and instantaneity of the data pretreatment, a real time self-adaption dynamic correction method based on the data change rate is proposed in this paper. It determines the upper and lower correction limits by the change rate of rolling sample data, and then find out the error points according to this correction range to eliminate or interpolate them. The field experiment results show that after the dynamic correction, the GPS data accuracy increases by 57.1%, so the accuracy of map matching greatly improves.