This paper presents a new method to determine an accurate position by using a low cost GPS receiver and proposes a neurofuzzy system to obtain accuracy in GPS positioning. The steps of design and implementation of the neurofuzzy system are presented and the experimental results of the tests are stated with real data. These show that the errors of position components decrease due to using of the neurofuzzy system.
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Global Positioning System (GPS) is a space-based satellite radio navigation system developed by the U.S. Department of Defense (DoD). GPS receivers provide land, marine and airborne users with continuous three-dimensional position, velocity and time data. The GPS positioning also has a lot of error element such as signal delays from ionospheric and tropospheric effects, satellite clock drift, satellite orbital position errors, signal multi paths, noise generated within the receiver itself and so on. They make positioning precision descend seriously and limit the application of medium precise positioning [1].
Because of above mentioned error sources, all GPS receiver have a certain number of errors. This means that received data from GPS receiver will not reflect the real location. Therefore, users who wish to increase the accuracy of their GPS receiver must take steps to minimize the errors [2].
In this paper, an intelligent method to decrease the position errors in low cost GPS receiver is described. The theoretical background for more accuracy is based on the principle of fuzzy logic and neural network scheme.
