Journal of Electrical and Electronic Engineering

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A New Method of Radar Signal Feature Parameter Assessment

Received: 5 April 2017    Accepted:     Published: 6 April 2017
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Abstract

Aimed at the problem of radar signal feature parameter assessment in the process of sorting, a multi-index joint assessing method is proposed. This method uses complexity, separability and stability to assess the performance of feature parameters sorting. It overcomes the defects of traditional ways that cannot make an overall and scientific assessment by only using a single index. Meanwhile, it can get the optimal comprehensive score value under different application requirements. Its validity and good engineering utilization performance is proved by computer simulation.

DOI 10.11648/j.jeee.20170502.12
Published in Journal of Electrical and Electronic Engineering (Volume 5, Issue 2, April 2017)
Page(s) 33-37
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Radar Signal, Feature Extraction, Assessment

References
[1] Zhang Gexiang, “Intelligent Recognition Methods for Radar Emitter Signals,” D. Southwest Jiaotong University, Ph. D. Thesis, 2005.
[2] Jun Han, Ming-hao He, Yan Mao, Ming-qiu Ren. A New Method for Recognizing Radar Radiating-source. J. ICWAPR’2007, pp. 1665-1668.
[3] Guo Lirong, He Minghao, Yu Chunlai, Wang Bingqie, “Radar Emitter Signal Sorting Based on Pulse Phase Linearity,” Journal of CABT, vol.9 No.1, Feb. 2014, pp.50–54.
[4] Guo Qiang, Wang Changhong, Li Zheng, “Support Vector Clustering and Type-Entropy Based Radar Signal Sorting Method,” Journal of Xi’an Jiaotong University, vol.44, 2010, pp.63–67.
[5] Wang Shiqiang, Zhang Dengfu, Bi Duyan, Yong Xiaoju, “Multi-parameter Radar Singal Sorting Method Based on Fast Support Vector Clustering and Similitude Entropy,” Journal of Electronics & Information technology, vol.33 No.11, 2011, pp.2735–2741.
[6] Han Jun, He Minghao, Zhu Yuanqing, Mao Yan, “Sorting of Radar Emitter Based on Milti-Parameters, Journal of Data Acquisition&Processing,” vol. 24 No.1, 2009, pp.91–94.
[7] CHEN Changxiao, HE Minghao, XU Jing, HAN Jun, “A New Method for Sorting Unknown Radar Emitter Signal”, Chinese Journal of Electronics, vol.23 No.3, 2014, pp.499–502.
[8] Gexiang Zhang, Haina Rong, Laizhao Hu, Weidong Jin, “Entropy feature extraction approach of radar emitter signals”, Proceedings of International Conference on Intelligent Mechatronics and Automation, 2004, pp.621–625.
[9] YONG Xiao-ju, ZHANG Deng-fu, WANG Shi-qiang, “A new method of sorting radar emitter signals”, Modern Defence Technology, Vol.39, No.3, 2011 pp.148–151.
[10] LIANG Hua-dong, XU Qing, “Application of entropy features to radar signal sorting”, Journal of Air Force Early Warning Academy, Vol.29, No.1, 2015, pp.7–12.
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  • APA Style

    Cheng Bolin, Xu Jing, Tang Yuwen. (2017). A New Method of Radar Signal Feature Parameter Assessment. Journal of Electrical and Electronic Engineering, 5(2), 33-37. https://doi.org/10.11648/j.jeee.20170502.12

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    ACS Style

    Cheng Bolin; Xu Jing; Tang Yuwen. A New Method of Radar Signal Feature Parameter Assessment. J. Electr. Electron. Eng. 2017, 5(2), 33-37. doi: 10.11648/j.jeee.20170502.12

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    AMA Style

    Cheng Bolin, Xu Jing, Tang Yuwen. A New Method of Radar Signal Feature Parameter Assessment. J Electr Electron Eng. 2017;5(2):33-37. doi: 10.11648/j.jeee.20170502.12

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  • @article{10.11648/j.jeee.20170502.12,
      author = {Cheng Bolin and Xu Jing and Tang Yuwen},
      title = {A New Method of Radar Signal Feature Parameter Assessment},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {5},
      number = {2},
      pages = {33-37},
      doi = {10.11648/j.jeee.20170502.12},
      url = {https://doi.org/10.11648/j.jeee.20170502.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20170502.12},
      abstract = {Aimed at the problem of radar signal feature parameter assessment in the process of sorting, a multi-index joint assessing method is proposed. This method uses complexity, separability and stability to assess the performance of feature parameters sorting. It overcomes the defects of traditional ways that cannot make an overall and scientific assessment by only using a single index. Meanwhile, it can get the optimal comprehensive score value under different application requirements. Its validity and good engineering utilization performance is proved by computer simulation.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - A New Method of Radar Signal Feature Parameter Assessment
    AU  - Cheng Bolin
    AU  - Xu Jing
    AU  - Tang Yuwen
    Y1  - 2017/04/06
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    N1  - https://doi.org/10.11648/j.jeee.20170502.12
    DO  - 10.11648/j.jeee.20170502.12
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 33
    EP  - 37
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20170502.12
    AB  - Aimed at the problem of radar signal feature parameter assessment in the process of sorting, a multi-index joint assessing method is proposed. This method uses complexity, separability and stability to assess the performance of feature parameters sorting. It overcomes the defects of traditional ways that cannot make an overall and scientific assessment by only using a single index. Meanwhile, it can get the optimal comprehensive score value under different application requirements. Its validity and good engineering utilization performance is proved by computer simulation.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Air Force Early Warning Academy, Wuhan, China

  • No.94969 Unit the PLA, Shanghai, China

  • Air Force Early Warning Academy, Wuhan, China

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