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Modified maximum entropy fuzzy data association filter

Dehghani Tafti, A ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1115/1.4000817
  3. Publisher: 2010
  4. Abstract:
  5. The problem of fuzzy data association for target tracking in a cluttered environment is discussed in this paper. In data association filters based on fuzzy clustering, the association probabilities of tracking filters are reconstructed by utilizing the fuzzy membership degree of the measurement belonging to the target. Clearly in these filters, the fuzzy clustering method has an important role; better approach causes better precision in target tracking. Recently, by using the information theory, the maximum entropy fuzzy data association filter (MEF-DAF), as a fast and efficient algorithm, is introduced in literature. In this paper, by modification of a fuzzy clustering objective function, which is prepared for using in target tracking, a modified maximum entropy fuzzy data association filter (MMEF-DAF) is proposed. The MMEF-DAF has a better performance in case of single and multiple target tracking than MEF-DAF, and the other known algorithms such as probabilistic data association filter and the hybrid fuzzy data association filter. Using Monte Carlo simulations, the superiority of the proposed algorithm in comparison with the previous ones is demonstrated. Simply, less computational cost and suitability for real-time applications are the main advantages of the proposed algorithm
  6. Keywords:
  7. Data/measurement association ; Fuzzy clustering ; Information theory ; Association probability ; Cluttered environments ; Computational costs ; Data association filters ; Efficient algorithm ; Fuzzy data ; Fuzzy membership ; Maximum entropy ; Monte Carlo Simulation ; Multiple target tracking ; Objective functions ; Probabilistic Data Association Filters ; Real-time application ; Tracking filter ; Algorithms ; Computer simulation ; Entropy ; Fuzzy clustering ; Fuzzy filters ; Fuzzy systems ; Monte Carlo methods ; Target tracking
  8. Source: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME ; Volume 132, Issue 2 , 2010 , Pages 1-9 ; 00220434 (ISSN)
  9. URL: http://dynamicsystems.asmedigitalcollection.asme.org/article.aspx?articleid=1413955