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| Ant colony optimization for bearings-only maneuvering target tracking in sensors network | |
| 引用本文： | Benlian XU,Zhiquan WANG,Zhengyi WU. Ant colony optimization for bearings-only maneuvering target tracking in sensors network[J]. 控制理论与应用(英文版), 2007, 5(3): 301-306. DOI: 10.1007/s11768-005-5190-9 |
| 作者姓名： | Benlian XU Zhiquan WANG Zhengyi WU |
| 作者单位： | [1]Department of Information and Control Engineering, Changshu Institute of Technology, Changshu Jiangsu 215500, China; [2]School of Automation, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China |
| 基金项目： | This paper was supported by the Natural Science Foundation of Jiangsu province of China （BK2004132）. |
| 摘 要： | In this paper, the problem of bearings-only maneuvering target tracking in sensors network is investigated. Two objectives are proposed and optimized by the ant colony optimization （ACO）, then two kinds of node searching strategies of the ACO algorithm are presented. On the basis of the nodes determined by the ACO algorithm, the interacting multiple models extended Kalman filter （IMMEKF） for the multi-sensor bearings-only maneuvering target tracking is introduced. Simulation results indicate that the proposed ACO algorithm performs better than the Closest Nodes method. Furthermore, the Strategy 2 of the two given strategies is preferred in terms of the requirement of real time. |
| 关 键 词： | 蚁群算法 多目标最优化 机动目标跟踪 传感器网络 |
| 收稿时间： | 2005-07-25 |
| 修稿时间： | 2005-07-25 |
Ant colony optimization for bearings-only maneuvering target tracking in sensors network |
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| Benlian XU,Zhiquan WANG,Zhengyi WU. Ant colony optimization for bearings-only maneuvering target tracking in sensors network[J]. Journal of Control Theory and Applications, 2007, 5(3): 301-306. DOI: 10.1007/s11768-005-5190-9 | |
| Authors: | Benlian XU Zhiquan WANG Zhengyi WU |
| Affiliation: | 1. Department of Information and Control Engineering, Changshu Institute of Technology, Changshu Jiangsu 215500, China; School of Automation, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China 2. School of Automation, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China 3. Department of Information and Control Engineering, Changshu Institute of Technology, Changshu Jiangsu 215500, China |
| Abstract: | In this paper, the problem of bearings-only maneuvering target tracking in sensors network is investigated. Two objectives are proposed and optimized by the ant colony optimization (ACO), then two kinds of node searching strategies of the ACO algorithm are presented. On the basis of the nodes determined by the ACO algorithm, the interacting multiple models extended Kalman filter (IMMEKF) for the multi-sensor bearings-only maneuvering target tracking is introduced. Simulation results indicate that the proposed ACO algorithm performs better than the Closest Nodes method. Furthermore, the Strategy 2 of the two given strategies is preferred in terms of the requirement of real time. |
| Keywords: | Ant colony algorithm Multi-objective optimization Maneuvering target tracking Bearings-only |
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