Reliability Analysis of Airborne Navigation for Unmanned Aerial Vehicle Based on Multi Source Information Fusion
Abstract: Specific to
deficiency existing in predicting strong maneuvering target of Unmanned Aerial Vehicle,
an improved algorithm of target tracking algorithm is proposed. The algorithm
uses the filtering residuals to adjust the adjustment coefficients adaptively
and an improved fuzzy membership function is proposed. Fuzzy self-adaptive
filtering algorithm of statistical model and improved fuzzy self-adaptive filtering
algorithm of statistical model are finally used to conduct simulation
experiment of track prediction with maneuvering target. The results of both
simulation experiments are analyzed and compared. The result of simulation
experiments shows that fuzzy self-adaptive filtering algorithm of statistical
model keeps track prediction performance for the general maneuvering target of
improved fuzzy self-adaptive filtering algorithm of statistical model and also
improves the track prediction effect for strong maneuvering target.
Keywords: unmanned aerial
vehicle; fuzzy controlling; kalman filtering; maneuvering target; track4 prediction
Author: Wang Song
Journal Code: jptkomputergg160096
