Fuzzy processing on GPS data to improve the position accuracy

Author

Lin, Chung-Jie ; Chen, Yung-Yaw ; Fan-Ren Hang

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

fYear

1996

fDate

11-14 Dec 1996

Firstpage

557

Lastpage

562

Abstract

A new application of fuzzy set theory to the problem of GPS positioning accuracy improvement is presented. We employed fuzzy processing on the C/A code stand-alone receiver and the DGPS receiver. The membership functions for the processing are determined by position dilution of precision (PDOP), signal-to-noise ratio (SNR) and the reliable factor of fixed position. We can select more accurate position fixes according to the values of the reliable factors. The accuracy of positioning has been improved by selecting position fixes from the original ones

Keywords

Global Positioning System; fuzzy set theory; position measurement; telecommunication computing; C/A code stand-alone receiver; DGPS receiver; GPS positioning accuracy improvement; Global Positioning System; fixed position; fuzzy data processing; fuzzy set theory; membership functions; position dilution of precision; position fix selection; reliable factor; signal-to-noise ratio; Extraterrestrial measurements; Fuzzy set theory; Geometry; Global Positioning System; Noise measurement; Position measurement; Reliability theory; Satellites; Signal to noise ratio; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian

Conference_Location

Kenting

Print_ISBN

0-7803-3687-9

Type

conf

DOI

10.1109/AFSS.1996.583711

Filename

583711