期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2016
卷号：14
期号：2A
页码：1-9
DOI：10.12928/telkomnika.v14i2A.4328
语种：English
出版社：Universitas Ahmad Dahlan
摘要：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.
其他摘要：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.
