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Radar Emitter Signal Recognition Based on Feature Selection and Support Vector Machines

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Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3644))

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Abstract

One of the intelligent aspects of human beings in pattern recognition is that man identifies an object in real world using Marked Characteristic Principle (MCP). This paper proposes a humanoid recognition method for radar emitter signals. The main points of the method include feature ordering and an improved one-versus-rest multiclass classification support vector machines. According to MCP, an approach for computing marked characteristic coefficients is presented to obtain the most marked feature of every radar emitter signal. Subsequently, a support vector network is designed using the improved one-versus-rest combination approach of several binary support vector machines. Experimental results show that the introduced method has faster recognition speed and better classification capability than conventional recognition approaches.

This work was supported by the National EW Laboratory Foundation (No.NEWL51435 QT220401).

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Author information

Authors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China

    Gexiang Zhang

  2. College of Profession and Technology, Jinhua, 321000, Zhejiang, China

    Zhexin Cao

  3. School of Computer Science, Southwest University of Science and Technology, Mianyang, 621002, Sichuan, China

    Yajun Gu

  4. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China

    Weidong Jin

  5. National EW Laboratory, Chengdu, 610036, Sichuan, China

    Laizhao Hu

Authors
  1. Gexiang Zhang
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  2. Zhexin Cao
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  3. Yajun Gu
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  4. Weidong Jin
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  5. Laizhao Hu
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Editor information

Editors and Affiliations

  1. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences,, China

    De-Shuang Huang

  2. School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China

    Xiao-Ping Zhang

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, P.O. Box, Singapore

    Guang-Bin Huang

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, G., Cao, Z., Gu, Y., Jin, W., Hu, L. (2005). Radar Emitter Signal Recognition Based on Feature Selection and Support Vector Machines. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_74

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  • DOI: https://doi.org/10.1007/11538059_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28226-6

  • Online ISBN: 978-3-540-31902-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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