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JCR Impact Factor: 0.459
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Issues per year: 4
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Next issue: Feb 2017
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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2015-Feb-09
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  3/2016 - 9

A Novel Target Tracking Algorithm for Simultaneous Measurements of Radar and Infrared Sensors

GHAZAL, M. See more information about GHAZAL, M. on SCOPUS See more information about GHAZAL, M. on IEEExplore See more information about GHAZAL, M. on Web of Science, DOUSTMOHAMMADI, A. See more information about DOUSTMOHAMMADI, A. on SCOPUS See more information about DOUSTMOHAMMADI, A. on SCOPUS See more information about DOUSTMOHAMMADI, A. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,169 KB) | Citation | Downloads: 113 | Views: 176

Author keywords
infrared sensors, radar tracking, state estimation, filtering algorithms, minimax techniques

References keywords
tracking(11), transaction(7), radar(6), estimation(6), control(6), systems(5), system(5), signal(5), sensors(5), processing(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-08-31
Volume 16, Issue 3, Year 2016, On page(s): 57 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.03009
Web of Science Accession Number: 000384750000009
SCOPUS ID: 84991107981

Abstract
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In this paper, a game theory filtering technique is proposed to track a maneuvering target using radar/infrared (IR) sensors. It is shown that use of game theory technique can improve filter performance in presence of model uncertainties, measurement noise, and unknown steering command of the target. The tracking problem of maneuvering target is formulated as a zero-sum dynamic game and a utility function is developed to find equilibrium point of this game in a deterministic fashion to estimate target characteristics, including its position and velocity. To improve the filter performance, a proposed linear matrix inequality is implemented to obtain the introduced parameter in utility function. The robustness of the filter is guaranteed by minimizing the utility function for the worst case region of the measurement noise and steering command. Simulation results illustrate the improved performance of the proposed filter compared to extended Kalman and cubature Kalman filters.


References | Cited By  «-- Click to see who has cited this paper

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[2] P. Jing, S. Xu, Z. Chen, "A Novel State Transition and Data Association Scheme Suitable For Asynchronous Radar and Infrared Sensors," IEEE China Summit & International Conference on Signal and Information Processing, Xi'an, China, 2014, pp. 768-771.
[CrossRef]


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[4] Z. Zhu, "Shipborne Radar Maneuvering Target Tracking Based on The Variable Structure Adaptive Grid Interacting Multiple Model," Journal of Zhejiang University Science C, vol. 14, no. 9, pp. 733-742, 2013.
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[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]


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[8] Y. J. He, M. Li, J. L. Zhang, J. P. Yao, "Infrared Target Tracking via Weighted Correlation Filter," Infrared Physics & Technology, vol. 73, pp. 103-114, 2015.
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[9] B. Mocanu, T. Ruxandra, T. Zaharia, "3D Object Metamorphosis with Pseudo Metameshes," Advances in Electrical and Computer Engineering, vol. 15, no. 1, pp. 115-122, 2015.
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[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 13]


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[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 10]


[12] A. Houles, Y. Bar-Shalom, "Multisensor Tracking of A Maneuvering Target in Clutter," IEEE Transaction on Aerospace Electronic Systems, vol. 25, no. 2, pp. 176-189, 1989.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 11]


[13] S. M. Kalami Heris, H. Khaloozadeh, "Ant Colony Estimator: An intelligent particle filter based on ACOR," Engineering Applications of Artificial Intelligence, vol. 28, no. 1, pp. 78-85, 2014.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]


[14] F. Valdez, P. Melin, O. Castillo "An Improved Evolutionary Method With Fuzzy Logic For Combining Particle Swarm Optimization and Genetic Algorithms," Applied Soft Computing, vol. 11, no. 2, pp. 2625-2632, 2011.
[CrossRef] [Web of Science Times Cited 86] [SCOPUS Times Cited 113]


[15] R. E. Precup, R. David, E. M. Petriu, S. Preitl, M. Radac, "Fuzzy logic-based adaptive gravitational search algorithm for optimal tuning of fuzzy controlled servo systems," IET Control Theory & Applications, vol. 7, no. 1, pp. 99-107, 2013.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 29]


[16] I. D. Falco, E. Laskowski, R. Olejnik, U. Scafuri, E. Tarantino, M. Tudruj, "Extremal optimization applied to load balancing in execution of distributed programs," Applied Soft Computing, vol. 30, pp. 501-513, 2015.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 6]


[17] N. Tomin, A. Zhukov, D. Sidorov, V. Kurbatsky, D. Panasetsky, V. Spiryaev, "Random forest based model for preventing large-scale emergencies in power systems," International Journal of Artificial Intelligence, vol. 13, no. 1, pp. 211-228, 2015.

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[CrossRef] [SCOPUS Times Cited 1167]


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[CrossRef]


[20] D. Gu, "A Game Theory Approach To Target Tracking in Sensor Networks," IEEE Transaction on System Man and Cybernetics Part B, vol. 41, no. 1, pp. 2-13, 2011.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 33]


[21] J. C. Preisig, "Optimal Minmax Estimation and The Development of Minmax Estimation Error Bounds," IEEE International Conference on Acoustics, Speech, and Signal Processing, San Francisco, USA, 1992, pp. 285-288.
[CrossRef]


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[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 8]


[23] S. Zhuk, V. Mallet, "Reduced Minimax Filtering by Means Of Differential-Algebraic Equations," 5th International Conference on Physics and Control, León, Spain, 2011, pp. 1-8.

[24] S. Zhuk, "Minimax State Estimation for Linear Stationary Differential-Algebraic Equations," in Proc. 16th IFAC Symposium on System Identification, Brussels, Belgium, 2012, pp. 143-148.
[CrossRef] [SCOPUS Times Cited 2]


[25] I. Yaesh, U. Shaked, "Discrete-Time Min-Max Tracking," IEEE Transaction on Aerospace Electronic Systems, vol. 42, no. 2, pp. 540-547, 2006.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]


[26] D. Simon, "A Game Theory Approach to Constrained Minimax State Estimation," IEEE Transaction on Signal Processing, vol. 54, no. 2, pp. 405-412, 2006.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 29]


[27] I. Yaesh, U. Shaked, "Game Theory Approach to Optimal Linear State Estimation and Its Relation To The Minimum H?-Norm Estimation," IEEE Transaction on Automatic Control, vol. 37, no. 6, pp. 828-831, 1992.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 40]


[28] B. D. O. Anderson, J. B. Moore, "Optimal Filtering," pp. 138-142, Prentice-Hall Englewood Cliffs, New Jersey, USA, 1979.

[29] I. Arasaratnam, "Cubature Kalman Filters" IEEE Transaction on Automatic Control, vol. 54, no. 6, pp. 1254-1269, 2009.
[CrossRef] [Web of Science Times Cited 466] [SCOPUS Times Cited 894]




References Weight

Web of Science® Citations for all references: 699 TCR
SCOPUS® Citations for all references: 2,379 TCR

Web of Science® Average Citations per reference: 23 ACR
SCOPUS® Average Citations per reference: 79 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-06 16:07 in 145 seconds.




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Faculty of Electrical Engineering and Computer Science
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