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		Benlian XU,Zhiquan WANG,Zhengyi WU.[en_title][J].Control Theory and Technology,2007,5(3):301~306.[Copy]

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BenlianXU,ZhiquanWANG,ZhengyiWU
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Received:July 25, 2005Revised:December 17, 2006

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Ant colony optimization for bearings-only maneuvering target tracking in sensors network

Benlian XU, Zhiquan WANG, Zhengyi WU

(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)

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.

Key words: Ant colony algorithm Multi-objective optimization Maneuvering target tracking Bearings-only