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

  • Libiao Tong
  • Fei Ye
  • Hongjun Zhang
  • Wenjun Lu
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 168)


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.


PSO algorithm feature selection modulation type recognition 


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  1. 1.
    Duan, H., Wang, D., Yu, X.: Research on some novel bionic optimization algorithm. Computer Simulation 24(3), 169–172 (2007)Google Scholar
  2. 2.
    Lu, B.: The research and development of particle swarm algorithm. Business Technology (501), 25–26 (2007)Google Scholar
  3. 3.
    Cui, Z., Zeng, J.: Dynamic adjusting modified particle swarm algorithm. Journal of Systems Engineering 20(6), 657–660 (2005)MATHGoogle Scholar
  4. 4.
    Zheng, X., Qian, F.: A modified particle swarm optimization algorithm. Computer Engineering 32(15), 25–27 (2006)Google Scholar
  5. 5.
    Wang, J.-N., Shen, Q., Shen, H., Zhou, X.: A clustering-based niching particle swarm optimization. Information and Control 34(6), 680–684 (2005)Google Scholar
  6. 6.
    Ye, F., Yu, Z., Luo, J.: Analysis of Radar Emitter Signal Feature Based on Multifractal Theory. In: Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments, Xi an, China, vol. I, pp. 14–17 (2007)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.New Star Research Institute of Applied TechnologyHefeiChina

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