Studies on an Integrated Navigation Method on the Basis of Adaptive Neuro-Fuzzy Inference System

Abstract:

The GPS / INS integrated navigation system performance will significantly decrease during GPS outages. In this paper, we study an new integrated navigation algorithm based on Adaptive Neural- fuzzy Inference System (ANFIS). The algorithm adopted Kalman filter with pseudo-range and pseudo-range rate observations when the number of GPS satellites was not less 4. Otherwise, ANFIS was used to estimate the navigation errors and restrain the increasing INS errors to achieve integrated navigation. The new algorithm can improve the performance of integrated system effectively and enhance the horizontal position accuracy than traditional tight integration algorithms. Especially, the method is applicable to the complex work environment of navigation systems of ships.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 4065-4070
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.4065
• Online since: January 2012
• Authors: Qiang Gao, Shan Jin, Tie Liu Wang
• Keywords: Adaptive Neuro-Fuzzy Inference System (ANFIS), Integrated Navigation, Kalman Filter (KF), Tight Integration

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