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Frequency-Hopping Signal Network-Station Sorting Based on Maxout Network Model and Generative Method

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  • Hongguang Li
  • Ying Guo
  • Ping Sui
  • Xinyong Yu
  • Xin Yang
  • Shaobo Wang

Abstract

Automatic frequency-hopping (FH) signal network-station sorting is one of the most difficult and import problems in the field of electronic warfare, especially in a complex electromagnetic environment. In this paper, an automatic and reliable network-station sorting method of FH signal with maxout network feature extraction and generative-based classification method is proposed. Experiments on real FH data sets demonstrate that the proposed method not only outperforms the competitive feature extraction methods with a higher accuracy of FH signal network-station sorting but also has a better robustness against noise, especially Gaussian noise.

Suggested Citation

  • Hongguang Li & Ying Guo & Ping Sui & Xinyong Yu & Xin Yang & Shaobo Wang, 2019. "Frequency-Hopping Signal Network-Station Sorting Based on Maxout Network Model and Generative Method," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-6, June.
    • Handle: RePEc:hin:jnlmpe:9152728
    DOI: 10.1155/2019/9152728
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