A fuzz application in GPS/INS navigation

• Published in: 2010 International Conference on Computer Application and System Modeling (ICCASM 2010) Vol. 8; pp. V8-609 - V8-613
• Main Authors: Zhibin Miao, Hongtian Zhang, Jinzhu Zhang, Ruiguang Geng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2010
• Subjects: Computational modeling; Data Interpolation; Equations; Fuzzy Logical System; Global Positioning System; Global Positioning System (GPS); Inertial Navigation System (INS); Kalman Filter; Mathematical model
• ISBN: 9781424472352; 1424472350
• ISSN: 2161-9069
• DOI: 10.1109/ICCASM.2010.5619104

More and more fuzzy applications are used in GPS and INS navigation. Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) are very practical method to get high precision navigation. However, GPS/INS data Fusion in navigation has been a research topic for decades. Since GPS and INS are mainly methods in navigation system, techniques of fusing GPS and INS data are in high demand in navigation industry. Usually the Kalman filter is used to fuse the data from GPS and INS. In this work, a generic and intelligent approach of GPS and INS data fuse using fuzzy interpolation before Kalman algorithm is proposed. First a simplified interpolation model is introduced in an ordinary GPS and INS data fusion. Second a fuzzy rule-based system is established to fuzzy interpolation with objective fuzzy method. Then the parameters of objective fuzzy system are identified, the best n-rule is determinate and the optimal rule base system is found. Finally this approach is applied on an example for a car GPS and INS data fusion, and the results are calculated with computer system to demonstrate the advantages of this approach.