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A Novel Target Tracking Algorithm for Simultaneous Measurements of Radar and Infrared SensorsGHAZAL, M. , DOUSTMOHAMMADI, A.
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infrared sensors, radar tracking, state estimation, filtering algorithms, minimax techniques
tracking(11), transaction(7), radar(6), estimation(6), control(6), systems(5), system(5), signal(5), sensors(5), processing(5)
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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
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.
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