A real-time moving ant estimator for bearings-only tracking

Authors:
Jihong Zhu;Benlian Xu;Fei Wang;Zhiquan Wang
Affiliations:
School of Automation, Nanjing University of Science and Technology, Nanjing, P.R China;Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, P.R China;School of Automation, Nanjing University of Science and Technology, Nanjing, P.R China;School of Automation, Nanjing University of Science and Technology, Nanjing, P.R China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2010

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Abstract

A real-time moving ant estimator (RMAE) is developed for the bearings-only target tracking, in which ants located at their individual current state utilize the normalized weight and pheromone value to select the one-step prediction state and the dynamic moving velocity of each ant is depended directly on the normalized weights between two states Besides this, two pheromone update strategy is implemented Numerical simulations indicate that the RMAE could estimate adaptively the state of maneuvering or non-maneuvering target, and real-time requirement is superior to the moving ant estimator (MAE).