Browse > Article
http://dx.doi.org/10.5391/JKIIS.2007.17.7.855

Adaptive Fuzzy IMM Algorithm for Position Tracking of Maneuvering Target  

Kim, Hyun-Sik (동명대학교 로봇시스템공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.7, 2007 , pp. 855-861 More about this Journal
Abstract
In real system application, the IMM-based position tracking algorithm requires robust performance, less computing resources and easy design procedure with respect to the uncertain target maneuvering, To solve these problems, an adaptive fuzzy interacting multiple model (AFIMM) algorithm, which is based on the well-defined basis sub-models and well-adjusted mode transition probabilities (MTPs), is proposed. Simulation results show that the proposed algorithm effectively solves the problems in the real system application of the IMM-based position tracking algorithm.
Keywords
Maneuvering target; Position tracking; Adaptiv fuzzy IMM; Basis sub-model; Mode transition probabilities;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Y. Bar-Shalom, K. C. Chang, and H. A. P. Blom, 'Tracking a manoeuvring target using input estimation versus the interacting multiple model algorithm,' IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-25, pp. 296-300, 1989
2 L. Campo, P. Mookerjee, and Y. Bar-Shalom, 'State Estimation for Systems with Sojourn-Time-Dependent Markov Model Switching,' IEEE Transaction on Automatic Control, Vol. 36, No.2, pp. 238-243, 1991   DOI   ScienceOn
3 H. S. Kim, and S. Y. Chun, 'Design of fuzzy IMM algorithm based on basis sub-models and time-varying mode transition probabilities,' International Journal of Control, Automation, and Systems, Vol. 4, No.5, pp. 559-566, 2006   과학기술학회마을
4 R. A. Singer, 'Estimating Optimal Tracking Filter Performance for Manned Manoeuvring Targets,' IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-6, No.4, pp. 473-483, 1970   DOI   ScienceOn
5 김현식, 김진석, 황수복, '기동 표적 추적을 위한 퍼지 IMM 알고리즘에 관한 연구,' 한국군사과학기술학회 논문지, 제7권, 제4호, pp. 5-12, 2004
6 T. Takagi, and M. Sugeno, 'Fuzzy identification of system and its applications to modeling and control,' IEEE Transactions on Man and Cybernetics, Vol. SMC-15, pp. 116-132, 1985   DOI   ScienceOn
7 Y. Bar-Shalom, and Xiao-Rong Li, 'Estimation and Tracking Principles, Techniques and Software,' Artech House, Inc, 1993
8 H. A. P. Blom, and Y. Bar-Shalom, 'The interacting multiple model algorithm for systems with a jump-linear smoothing application,' IEEE Transactions on Automatic Control, Vol. AC-33, No.8, pp. 780-783, 1988
9 X Rang Li, 'Design of an Interacting Model Algorithm for Air Traffic Tracking,' IEEE Transactions on Systems Technology, Vol. 1, No.3, pp. 1993
10 Bum- Jik Lee, Young-Hoon Joo, and Jin-Bae Park, 'Estimating optimal tracking filter performance for manned maneuvering targets,' International Journal of Control, Automation, and Systems, Vol. 1, No.1, pp. 93-100, 2003