Title :
Genetically optimized ANFIS based Intelligent Navigation System
Author :
Malleswaran, M. ; Vaidehi, V. ; Joseph, R. Abilash
Author_Institution :
Dept. of Electron. & Commun. Eng., Anna Univ. of Technol. Tirunelveli, Tirunelveli, India
Abstract :
Global positioning System (GPS) and Inertial Navigation System (INS) data can be integrated together to provide a reliable navigation. This paper presents an approach of solving GPS/INS data integration problem, without the need of modeling the characteristics of GPS and INS sensors. This approach uses Genetically optimized Adaptive Neuro-Fuzzy Inference System (GANFIS) as an alternative to the conventional Kalman filter approach in which it is mandatory to model the entire system.
Keywords :
Global Positioning System; Kalman filters; data integration; fuzzy reasoning; genetic algorithms; inertial navigation; sensors; telecommunication computing; GANFIS; GPS sensor; GPS-INS data integration problem; Global Positioning System; INS sensor; Kalman filter approach; genetic algorithm; genetically optimized adaptive neurofuzzy inference system; intelligent navigation system; Artificial neural networks; Biological cells; Fuzzy logic; Genetic algorithms; Global Positioning System; Optimization; Sensors; ANFIS; GA; GANFIS; GENETIC ALGORITHM; GPS; INS; INTELLIGENT NAVIGATION SYSTEM;
Conference_Titel :
Advanced Computing (ICoAC), 2011 Third International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-0670-6
DOI :
10.1109/ICoAC.2011.6165207
