Bearings-only target tracking using node selection based on an accelerated ant colony optimization

Authors:
Benlian Xu;Zhiquan Wang
Affiliations:
Department of Automation, Nanjing University of Science & Technology, Nanjing, China;Department of Automation, Nanjing University of Science & Technology, Nanjing, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Year:
2005

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Abstract

In order to improve target localization accuracy and conserve node power simultaneously, a multi-objective accelerated ant colony optimization algorithm is presented to deal with the problem of node selection in the sensors network. On the base of it, the interacting multiple model algorithm (IMM) is introduced to track bearings-only maneuvering target, and simulation results show that the proposed algorithm not only has better tracking performance, but also meets the needs of conserving battery power of node.