| Application of Road Information in Ground Moving Target Tracking |
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| 作者姓名： | Zhen Xinyan Zhao Wei |
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| 作者单位： | School of Electronics and Information Engineering, Beo＇ing University of Aeronautics and Astronautics, Beijing 100083, China |
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| 摘 要： | A new algorithm is developed to achieve accurate state estimation in ground moving target tracking by means of using road information. It is an adaptive variable structure interacting multiple model estimator with dynamic models modification （DMM VS-IMM for short）. Firstly, road information is employed to modify the target dynamic models used by filter, including modification of state transition matrix and process noise. Secondly, road information is applied to update the model set of a VS-IMM estimator. Predicted state estimation and road information are used to locate the target in the road network on which the model set is updated and finally IMM filtering is implemented. As compared with traditional methods, the accuracy of state estimation is improved for target moving not only on a single road, but also through an intersection. Monte Carlo simulation demonstrates the efficiency and robustness of the proposed algorithm with moderate computational loads.
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| 关 键 词： | 目标跟踪器 航行信息 模型处理 技术性能 |
| 收稿时间： | 2007-06-22 |
| 修稿时间： | 2007-11-13 |
Application of Road Information in Ground Moving Target Tracking |
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| Zhen Xinyan Zhao Wei.Application of Road Information in Ground Moving Target Tracking[J].Chinese Journal of Aeronautics,2007,20(6):529-538. |
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| Authors: | Zhen Zhao |
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| Institution: | aSchool of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China |
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| Abstract: | A new algorithm is developed to achieve accurate state estimation in ground moving target tracking by means of using road information. It is an adaptive variable structure interacting multiple model estimator with dynamic models modification (DMM VS-IMM for short). Firstly, road information is employed to modify the target dynamic models used by filter, including modification of state transition matrix and process noise. Secondly, road information is applied to update the model set of a VS-IMM estimator. Predicted state estimation and road information are used to locate the target in the road network on which the model set is updated and finally IMM filtering is implemented. As compared with traditional methods, the accuracy of state estimation is improved for target moving not only on a single road, but also through an intersection. Monte Carlo simulation demonstrates the efficiency and robustness of the proposed algorithm with moderate computational loads. |
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| Keywords: | ground moving target tracking state estimation road information models modification variable structure interacting multiple model (VS-IMM) |
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