A Fuzzy Adaptive Algorithm for Maneuvering Target Based on Current Statistical Model

doi:10.3969/j.issn.1000-1093.2016.11.011

Abstract

Abstract: A fuzzy adaptive algorithm is proposed for the imperfections of tracking a maneuvering target using conventional algorithm based on current statistical model. Maneuvering frequency is adjusted in real time by fuzzy reasoning according to the normalized residual and its change rate. Acceleration variance is depicted using residual power function, and the mean value of current acceleration is updated by the deviation between the estimated and predicted values of acceleration. On this basis, the weight of proposed algorithm is revised by Gauss membership function and strong tracking algorithm. Fuzzy adaptive algorithm is not restricted by maneuvering frequency given manually and extreme value of maximum acceleration, which is suitable for the different ranges and degrees of maneuvering.

Key words: ordnance science and technology, current statistical model, Jerk model, fuzzy adaptive filtering, strong tracking, maneuvering target

CLC Number:

TN929.3

LIU Wang-sheng, PAN Hai-peng, LI Ya-an. A Fuzzy Adaptive Algorithm for Maneuvering Target Based on Current Statistical Model[J]. Acta Armamentarii, 2016, 37(11): 2037-2043.

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