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International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 989–998Cite as

Flight Target Recognition via Neural Networks and Information Fusion

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

The purpose of this research is to increase the target recognition rate by means of neural networks and feature fusion. We analyze the performance of different recognition methods (Bayesian classifier, support vector machine (SVM), and neural networks) based on high-resolution range profile (HRRP). The result shows the superiority of neural networks to Bayesian classifier and SVM in classification. We apply multi-source feature fusion to target recognition based on neural networks. The results show that, in certain cases, the target recognition ratio using fusion feature is higher than that of HRRP only.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61671138, 61731006), and was partly supported by the 111 Project No. B17008.

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Authors and Affiliations

  1. University of Electronic Science and Technology of China Information and Communication Engineering, Chengdu, China

    Yang Zhang, Zhenzhen Duan, Jian Zhang & Jing Liang

Authors
  1. Yang Zhang
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  2. Zhenzhen Duan
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  3. Jian Zhang
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  4. Jing Liang
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Corresponding author

Correspondence to Yang Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Zhang, Y., Duan, Z., Zhang, J., Liang, J. (2020). Flight Target Recognition via Neural Networks and Information Fusion. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_118

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_118

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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