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The Feature Selection Method of Radar Modulation Signal Based on Particle Swarm Optimization Algorithm

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Advances in Computer Science and Information Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 168))

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Abstract

Feature selection is the important component of pattern recognition. Particle Swarm Optimization (PSO) is sample and has excellent performance. Through adding improvement strategy to standard PSO algorithm, the feature selection of radar modulation signal based on PSO algorithm is proposed, and the simulation experiment validates the algorithm is effective.

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Author information

Authors and Affiliations

  1. New Star Research Institute of Applied Technology, Hefei, 230031, China

    Libiao Tong, Fei Ye, Hongjun Zhang & Wenjun Lu

Authors
  1. Libiao Tong
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  2. Fei Ye
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  3. Hongjun Zhang
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  4. Wenjun Lu
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Corresponding author

Correspondence to Libiao Tong .

Editor information

Editors and Affiliations

  1. Wuhan Section of ISER Association, Guangshan Road 76, Wuhan, 430072, China, People's Republic

    David Jin

  2. Researcher Association, Guangzhou Section, International Science & Education, Jinheng Road, Jinbi Garden 85-1102 144, Guang Zhou, China, People's Republic

    Sally Lin

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Cite this paper

Tong, L., Ye, F., Zhang, H., Lu, W. (2012). The Feature Selection Method of Radar Modulation Signal Based on Particle Swarm Optimization Algorithm. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_82

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  • DOI: https://doi.org/10.1007/978-3-642-30126-1_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30125-4

  • Online ISBN: 978-3-642-30126-1

  • eBook Packages: EngineeringEngineering (R0)

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