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Designing Tracking Method using Compensating Acceleration with FCM for Maneuvering Target  

Son, Hyun-Seung (Dept. of Electrical and Electronic Engineering, Yonsei University)
Park, Jin-Bae (Dept. of Electrical and Electronic Engineering, Yonsei University)
Joo, Young-Hoon (Dept. of Control and Robot Engineering, Kunsan National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.49, no.3, 2012 , pp. 82-89 More about this Journal
Abstract
This paper presents the intelligent tracking algorithm for maneuvering target using the positional error compensation of the maneuvering target. The difference between measured point and predict point is separated into acceleration and noise. Fuzzy c-mean clustering and predicted impact point are used to get the optimal acceleration value. The membership function is determined for acceleration and noise which are divided by fuzzy c-means clustering and the characteristics of the maneuvering target is figured out. Divided acceleration and noise are used in the tracking algorithm to compensate computational error. The filtering process in a series of the algorithm which estimates the target value recognize the nonlinear maneuvering target as linear one because the filter recognize only remained noise by extracting acceleration from the positional error. After filtering process, we get the estimates target by compensating extracted acceleration. The proposed system improves the adaptiveness and the robustness by adjusting the parameters in the membership function of fuzzy system. To maximize the effectiveness of the proposed system, we construct the multiple model structure. Procedures of the proposed algorithm can be implemented as an on-line system. Finally, some examples are provided to show the effectiveness of the proposed algorithm.
Keywords
Acceleration; fuzzy c-means clustering (FCM); interacting multiple model (IMM); maneuvering target; non-linear;
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