Improving GPS Accuracy using Neuro-Fuzzy System
| Authors: | Akoum Samer, American University of Sharjah, United Arab Emirates
Al-Assaf Yousef, American University of Sharjah, United Arab Emirates |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Neural Networks in Modelling and Control |
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| Keywords: | global positioning systems, fuzzy logic, artificial intelligence, neural network, position error. |
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Abstract
Single Global Positioning System (GPS) receiver is capable of horizontal accuracy within 10 to 20 meters. Further improvement in accuracy employs more sophisticated and costly equipment. However, many engineering applications that require GPS data may not require fine accuracies and hence the use of expensive equipment may not be justified. In this research, neuro-fuzzy system will be considered to improve the accuracy of GPS receiver by utilizing various GPS parameters such as position dilution of precision (PDOP) and signal to noise ratio (SNR). Significant improvement in GPS accuracy is achieved using the proposed method.
