An improved fuzzy alpha-beta filter for tracking a highly maneuvering target

作者：Dahmani Mohammed^*; Meche Abdelkrim; Keche Mokhtar; Abed Meraim Karim

来源：Aerospace Science and Technology, 2016, 58: 298-305.

DOI：10.1016/j.ast.2016.08.029

• Fuzzy logic
• Alpha-beta filter
• Target tracking
• Takagi Sugeno

In this paper, a new fuzzy alpha-beta filter for tracking a highly maneuvering target is presented. The target may maneuver at uniform angle rates by executing sharp turns within a short time. A set of fuzzy if then rules is used to estimate the index of maneuverability (tracking index A). This index A is used to estimate the optimal alpha beta filter coefficients. The proposed filter is referred to as the Improved Fuzzy alpha-beta filter (IF alpha beta filter). It is shown through numerical simulations that the proposed filter does not only achieve a good tracking accuracy, but can also be used to detect the start and the end of target maneuvers. Compared to the standard fuzzy alpha-beta filter, the proposed fuzzy algorithm is better, in terms of both accuracy and computational complexity.

• 出版日期2016-11