An Methodology of Automatic Guidance System

As the development of the Global Positioning System (GPS), it has gained popularity in navigation, geology, survey and map, for its all-weather, high accuracy capability. The application of GPS in agriculture is a hot topic at present. An automatic guidance system is described in this paper. The precision of the system mainly depends on the GPS positioning precision. To improve the precision of the system, statistics is introduced to the program. An experiment was carried out to figure out the distribution model of the error of the GPS. The experiment shows that the distribution of error matches the normal distribution model approximately. On the assumption that the error distribution is normal, the filtering module is introduced to the program. It calculates the confidence interval on real time, and filters out the GPS data with big accident error, following that the structure of the system and the working course are described in detail. From the experiment we could see the precision of the system improved significantly with the filtering