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Reliability Analysis of Airborne Navigation for Unmanned Aerial Vehicle Based on Multi Source Information Fusion

Journal from gdlhub / 2016-11-05 04:38:03
Oleh : Wang Song, Bu Liangliang, Li Wenya, Dong Fangchen, Telkomnika
Dibuat : 2016-06-01, dengan 1 file

Keyword : Unmanned aerial vehicle; Fuzzy controlling; Kalman filtering; Maneuvering target; Track prediction
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/4328

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.

Deskripsi Alternatif :

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.

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