Position Accuracy Improvement Using Fuzzy Processing on GPS Data

Kazunobu Koremura, Michihiro Asakura, and Chiaki Matsumoto

Abstract:	Fuzzy logic is one of the most successful technologies for developing process and control systems. To reduce position error on GPS, we employed fuzzy processing logic on the C/A code stand alone GPS positioning system. Since Initial Operational Capability (IOC) has been declared, users can receive six to twelve satellites signal simultaneously. If 8 satellites signal are available at the same time, 70 of the 3-dimensional fixes can be obtained with the combination of 8 to 4, (g C 4=70). The received GPS signals, i.e., the pseudo ranges, the present position of satellites and acquisition time of the data are used for the processing. Membership functions for the processing are demrmined by position dilution of precision (PDOP), signal to noise ratio (SNR) atxl reliability factor of fixed position. The reliability factor are used to get weighted average of all the calculated position. The position accuracy has been improved several times higher than ordimuy C/A axle GPS receiver.
Published in:	Proceedings of the 7th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1994) September 20 - 23, 1994 Salt Palace Convention Center Salt Lake City, UT
Pages:	165 - 172
Cite this article:	Koremura, Kazunobu, Asakura, Michihiro, Matsumoto, Chiaki, "Position Accuracy Improvement Using Fuzzy Processing on GPS Data," Proceedings of the 7th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1994), Salt Lake City, UT, September 1994, pp. 165-172.
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