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A new smoothing approach with diverse fixed-lags based on target motion model

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Abstract

Recently, lots of smoothing techniques have been presented for maneuvering target tracking. Interacting multiple model-probabilistic data association (IMM-PDA) fixed-lag smoothing algorithm provides an efficient solution to track a maneuvering target in a cluttered environment. Whereas, the smoothing lag of each model in a model set is a fixed constant in traditional algorithms. A new approach is developed in this paper. Although this method is still based on IMM-PDA approach to a state augmented system, it adopts different smoothing lag according to diverse degrees of complexity of each model. As a result, the application is more flexible and the computational load is reduced greatly. Some simulations were conducted to track a highly maneuvering target in a cluttered environment using two sensors. The results illustrate the superiority of the proposed algorithm over comparative schemes, both in accuracy of track estimation and the computational load.

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Authors and Affiliations

  1. Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, PRC

    Chen Li, Chong-Zhao Han & Hong-Yan Zhu

Authors
  1. Chen Li
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  2. Chong-Zhao Han
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  3. Hong-Yan Zhu
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Corresponding author

Correspondence to Chen Li.

Additional information

This work is supported by the Projects of the State Key Fundamental Research (No. 2001CB309403)

Chen Li received her B.Sc degree in electronic and information engineering form Xi’an JiaoTong University, China in 2002. She is currently a Ph.D. candidate in control science and engineering from Xi’an JiaoTong University, China.

Her research interests include information fusion, especially target tracking and data association.

Chong-Zhao Han received his B.Sc degree in automation from Xi’an JiaoTong University, China in 1968, and the M.Sc. degree from China Academy of Science, China in 1981. He is currently a professor in Xi’an JiaoTong University of Electronic and Information Engineering, China.

He has over 40 years of experience in industrial and academic research. He has published 7 books and more than 140 journal and conference papers. His research interests include stochastic system analysis, estimation theory, nonlinear analysis and information fusion.

Prof. Han is member of board of directors in Chinese Association of Automation, and also the vice chair of Shanxi Provincial Association of Automation.

Hong-Yan Zhu received her B.Sc degree in computation mathematics from Xi’an JiaoTong University, China in 1996, and the M.Sc. degree and the Ph.D. degree from Xi’an JiaoTong University, China in 1999 and 2003, respectively. She is currently a vice professor in Electronic Information Engineering, Xi’an JiaoTong University, China.

Her research interests include nonlinear control and information fusion, especially target tracking and data association.

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Li, C., Han, CZ. & Zhu, HY. A new smoothing approach with diverse fixed-lags based on target motion model. Int J Automat Comput 3, 425–430 (2006). https://doi.org/10.1007/s11633-006-0425-x

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  • DOI: https://doi.org/10.1007/s11633-006-0425-x

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