| 3/2017 - 5 |
A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target TrackingGHAZAL, M.   , DOUSTMOHAMMADI, A. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,586 KB) | Citation | Downloads: 1,005 | Views: 2,843 |
Author keywords
markov processes, infrared sensor, radar, state estimation, filtering algorithm
References keywords
tracking(16), systems(10), control(7), model(6), transaction(5), theory(5), multiple(5), maneuvering(5), estimation(5), algorithm(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2017-08-31
Volume 17, Issue 3, Year 2017, On page(s): 35 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.03005
Web of Science Accession Number: 000410369500005
SCOPUS ID: 85028542876
Abstract
In this paper, the state estimation problem for discrete-time jump Markov systems is considered. A minimax filtering technique, interacting multiple model algorithm based on game theory, is developed for discrete-time stochastic systems. Filter performance improvement in presence of model uncertainties, measurement noise, and unknown steering command of the maneuvering target is illustrated. It is shown that the technique presented in this paper has a better performance in comparison with the traditional Kalman filter with minimum estimation error criterion for the case of worst possible steering command of target. In particular, simulation results illustrate the improved performance of the proposed filter compared to Interacting Multiple Model (IMM), diagonal-matrix-weight IMM (DIMM), and IMM based on (IMMH) filters. |
| References | | | Cited By «-- Click to see who has cited this paper |
| [1] C. J. Lee, J. M. Pak, C. K. Ahn, Min, K. M., P. Shi, M. T. Lim, "Multi-Target FIR Tracking Algorithm for Markov Jump Linear Systems Based on True-Target Decision-Making," Neurocomputing, vol. 168, no. 11, pp. 298-307, 2015. [CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 24] [2] Q. Zhang, L. Li, X.G. Yan, S.K. Spurgeon, "Sliding Mode Control for Singular Stochastic Markovian Jump Systems with Uncertainties," Automatica, vol. 79, no. 5, pp. 27-34, 2017. [CrossRef] [Web of Science Times Cited 119] [SCOPUS Times Cited 129] [3] H. Habibi, I. Howard, R. Habibi, "Bayesian Sensor Fault Detection in a Markov Jump System," Asian Journal of Control, In press, 2017. [CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 17] [4] X. Li, J. Lam, H. Gao, J. Xiong, "H8 and H2 Filtering for Linear Systems with Uncertain Markov Transitions," Automatica, vol. 67, no. 5, pp. 252-266, 2016. [CrossRef] [Web of Science Times Cited 91] [SCOPUS Times Cited 104] [5] X. Fu, Y. Jia, J. Du, F. Yu, "New Interacting Multiple Model Algorithms for the Tracking of the Manoeuvring Target," IET Control Theory & Applications, vol. 4, no. 10,p. 2184-2194, 2010. [CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 56] [6] X. Fu,Y. Shang, H. Yuan, "Improved Diagonal Interacting Multiple Model Algorithm for Manoeuvering Target Tracking Based on H8 Filter," IET Control Theory & Applications, vol. 9, no. 12, pp. 1887-1892, 2015. [CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18] [7] W. Zhu, W. Wang, G. Yuan, "An Improved Interacting Multiple Model Filtering Algorithm Based on the Cubature Kalman Filter for Maneuvering Target Tracking," Sensors, vol. 16, no. 6, pp. 805-907, 2016. [CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 73] [8] S. Vasuhi, V. Vaidehi, "Target Tracking Using Interactive Multiple Model for Wireless Sensor Network," Information Fusion, vol. 27, no. 1, pp. 41-53, 2016. [CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 97] [9] F. Dufour, M. Mariton, "Tracking a 3D Maneuvering Target with Passive Sensors," IEEE Transactions on Aerospace Electronic Systems, vol. 27, no. 4, pp. 725-739, 1991. [CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 75] [10] J.H. Yin, B. Z. Cui, Y. F. Wang, "A Novel Maneuvering Target Tracking Algorithm for Radar/Infrared Sensors," Chin. J. Electron, vol. 19, no. 4, pp. 752-756, 2010. [11] Q.C. Wang, W. F. Wang, "Tracking Method Based on Separation and Combination of the Measurements for Radar and IR Fusion System," Journal of Systems Engineering and Electronics, vol. 20, no. 2, pp. 241-246, 2009. [12] W. Li, Y. Jia, J. Du, J. Zhang, "Robust State Estimation for Jump Markov Linear Systems with Missing Measurements," Journal of the Franklin Institute, vol. 350, no. 6, pp. 1476-87, 2013. [CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18] [13] 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. [CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 53] [14] M. Ghazal, A. Doustmohammadi, "Multi-sensor Target Tracking in the Presence of Clutter Using Game Theory," Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, First Published, 2017. [CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1] [15] Y. Ulker, B. Gunsel, "Multiple Model Target Tracking with Variable Rate Particle Filters," Digital Signal Processing, vol. 22, no. 3, pp. 417-429, 2012. [CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 22] [16] 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 19] [SCOPUS Times Cited 20] [17] 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. [CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 2] [18] G. Zames, "Feedback and Optimal Sensitivity: Model Reference Transformations Multiplicative Seminorms, and Approximate Inverses," IEEE Transaction on Automatic Control, vol. 26, no. 2, pp. 301-320, 1981. [CrossRef] [Web of Science Times Cited 1379] [SCOPUS Times Cited 1714] [19] R. D. Martin, V. J. Yohai, R. H. Zamar, "Min-Max Bias Robust Regression," The Annals of Statistics, vol. 17, pp. 1608-1630, 1989. [ [CrossRef] [Web of Science Times Cited 89] [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 52] [SCOPUS Times Cited 65] [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] [SCOPUS Times Cited 3] [22] I. Yaesh, U. Shaked, "Min-Max Kalman filtering," Systems and Control Letters, vol. 53, no. 3, pp. 217-228. 2004. [CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 12] [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 12] [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 7] [SCOPUS Times Cited 8] [26] D. Simon, "A Game Theory Approach to Constrained Minimax State Estimation," IEEE Transaction on Signal Processing, vol. 54, no. 2, pp. 405-412. [CrossRef] [Web of Science Times Cited 84] [SCOPUS Times Cited 96] [27] M. Ghazal, A. Doustmohammadi, "A Novel Target Tracking Algorithm For Simultaneous Measurements of Radar and Infrared Sensors," Advances in Electrical and Computer Engineering, vol. 16, n. 3, 2016. [CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 8] [28] X. R. Li, V. P. Jilkov, "Survey of Maneuvering Target Tracking. Part I. Dynamic Models," IEEE Transactions on Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1333-1364, 2003. [CrossRef] [Web of Science Times Cited 1659] [SCOPUS Times Cited 2290] Web of Science® Citations for all references: 3,886 TCR SCOPUS® Citations for all references: 4,917 TCR Web of Science® Average Citations per reference: 134 ACR SCOPUS® Average Citations per reference: 170 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 2024-12-20 19:20 in 171 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
