Abstract
This article presents a method for introducing fuzzy logic into a conventional α-β tracking algorithm. The algorithm is able to handle general tracking situations where targets can be either maneuvering or non-maneuvering and the tracking data consist of missing and erroneous values. To evaluate the performance of the fuzzy tracker, several sets of real data are used. The results are shown to be very encouraging.
Original language | English |
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Pages (from-to) | 4464-4467 |
Number of pages | 4 |
Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
Volume | 5 |
Publication status | Published - 1 Dec 1995 |
Event | Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Canada Duration: 22 Oct 1995 → 25 Oct 1995 |
ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering