ANFIS based dynamic model compensator for tracking and GPS navigation applications

Abstract

This paper deals with the design of radar target tracking and GPS (Global Positioning System) navigation based on the ANFIS (adaptive network-based fuzzy inference system) aided adaptive Kalman filtering approach. To achieve good filtering solutions, the Kalman filter designers are required to have good knowledge on both dynamic process and measurement models, in addition to the assumption that both the process and measurement are corrupted by zero-mean Gaussian white sequences. To prevent divergence problem when the Kalman assumptions are violated, the ANFIS is employed as the dynamic model corrector. The performance improvement will be demonstrated and discussed based on the proposed method.