GPS outlier processing system and method

Abstract

The invention provides a GPS outlier processing method, comprising the following steps: converting the position information sent by the GPS module into data information; defining the data information acquired for the first time as Dold, and defining the data information acquired subsequently as Dnew; Calculate the moving distance of the car based on the data information of Dold and the current data information of Dnew; judge whether the moving distance of the car is greater than the moving threshold; if the moving distance of the car is greater than the moving threshold, add 1 to the count value; judge whether the current count value is greater than the expected Set the value; if the current count value is greater than the preset value, then output the current Dnew data information; if the current count value is not greater than the preset value, then judge whether the moving distance of the car is greater than the moving threshold. The GPS outlier processing method provided by the invention occupies less memory and is suitable for single-chip microcomputer systems. The invention also provides a GPS outlier processing system.

Description

【Technical Field】 [0001] The present invention relates to the technical field of automobile positioning, in particular to a GPS outlier processing system and method. 【Background technique】 [0002] GPS (Global Positioning System, Global Positioning System) can provide real-time, all-weather and global navigation services, as well as vehicle positioning, anti-theft, anti-robbery, driving route monitoring and call command and other functions. [0003] GPS modules are installed in existing cars to output information such as the latitude and longitude, speed, and acceleration of the current position of the car. Although the module internally suppresses the noise of different frequency bands to output stable satellite signals, outliers will appear due to electromagnetic interference, circuit stability, building obstruction, temperature and humidity and other factors, which will lead to the output of the GPS module. There is a large deviation in location information. [0004] At present,...

AI Technical Summary

Problems solved by technology

However, the sliding window weighted average method needs to store a large amount of data, which consumes more memory and is not suitable for small single-chip microcomputer systems.

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