| A New Smoothing Approach with Diverse Fixed-lags Based on Target Motion Model |
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| 作者姓名： | Chen Li Chong-Zhao Han Hong-Yan Zhu Electronic and Information Engineering Xi'an Jiaotong University Xi'an PRC |
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| 作者单位： | Chen Li，Chong-Zhao Han，Hong-Yan Zhu Electronic and Information Engineering，Xi'an Jiaotong University，Xi'an 710049，PRC |
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| 基金项目： | This work is supported by the Projects of the State Key Fundamental Research (No. 2001CB309403) |
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| 摘 要： | 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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| 关 键 词： | Maneuvering target tracking smoothing lag interacting multiple model （IMM） probabilistic data association（PDA） |
| 收稿时间： | 2006-01-13 |
| 修稿时间： | 2006-05-12 |
A new smoothing approach with diverse fixed-lags based on target motion model |
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| Chen Li,Chong-Zhao Han,Hong-Yan Zhu Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an ,PRC.A New Smoothing Approach with Diverse Fixed-lags Based on Target Motion Model[J].International Journal of Automation and computing,2006,3(4):425-430. |
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| Authors: | Chen Li Chong-Zhao Han Hong-Yan Zhu |
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| Affiliation: | (1) Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, PRC |
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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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| Keywords: | Maneuvering target tracking smoothing lag interacting multiple model (IMM) probabilistic data association (PDA) |
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