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A Real-Time Moving Ant Estimator for Bearings-Only Tracking

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Advances in Swarm Intelligence (ICSI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6145))

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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).

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Author information

Authors and Affiliations

  1. School of Automation, Nanjing University of Science and Technology, 210094, Nanjing, P.R. China

    Jihong Zhu, Fei Wang & Zhiquan Wang

  2. Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, Changshu, P.R. China

    Benlian Xu

Authors
  1. Jihong Zhu
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  2. Benlian Xu
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  3. Fei Wang
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  4. Zhiquan Wang
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

  3. Department of Electrical and Computer Engineering, National University of Singapore, Engineering Drive 3, 4 Engineering Drive 3, 117576, Singapore

    Kay Chen Tan

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© 2010 Springer-Verlag Berlin Heidelberg

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Zhu, J., Xu, B., Wang, F., Wang, Z. (2010). A Real-Time Moving Ant Estimator for Bearings-Only Tracking. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_34

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  • DOI: https://doi.org/10.1007/978-3-642-13495-1_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13494-4

  • Online ISBN: 978-3-642-13495-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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