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.
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March 2010
Research Papers
Modified Maximum Entropy Fuzzy Data Association Filter
Abdolreza Dehghani Tafti,
Abdolreza Dehghani Tafti
Department of Electrical Engineering,
e-mail: dehghani@kiau.ac.ir
Islamic Azad University
, Science and Research Branch, Tehran 1477893855, Iran
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Nasser Sadati
Nasser Sadati
Department of Electrical and Computer Engineering,
University of British Columbia
, Vancouver, BC V6T 1Z4, Canada; Department of Electrical Engineering, Sharif University of Technology
, Tehran 1458889694, Iransadati@ece.ubc.ca
Search for other works by this author on:
Abdolreza Dehghani Tafti
Department of Electrical Engineering,
Islamic Azad University
, Science and Research Branch, Tehran 1477893855, Irane-mail: dehghani@kiau.ac.ir
Nasser Sadati
Department of Electrical and Computer Engineering,
University of British Columbia
, Vancouver, BC V6T 1Z4, Canada; Department of Electrical Engineering, Sharif University of Technology
, Tehran 1458889694, Iransadati@ece.ubc.caJ. Dyn. Sys., Meas., Control. Mar 2010, 132(2): 021013 (9 pages)
Published Online: February 9, 2010
Article history
Received:
December 30, 2008
Revised:
December 1, 2009
Online:
February 9, 2010
Published:
February 9, 2010
Citation
Tafti, A. D., and Sadati, N. (February 9, 2010). "Modified Maximum Entropy Fuzzy Data Association Filter." ASME. J. Dyn. Sys., Meas., Control. March 2010; 132(2): 021013. https://doi.org/10.1115/1.4000817
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