HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals

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著者

    • KIM Taehwan
    • School of Electrical Engineering and Computer Science, Kyungpook National University
    • BAE Keunsung
    • School of Electrical Engineering and Computer Science, Kyungpook National University

抄録

This paper deals with underwater target classification using synthesized active sonar signals. Firstly, we synthesized active sonar returns from a 3D highlight model of underwater targets using the ray tracing algorithm. Then, we applied a multiaspect target classification scheme based on a hidden Markov model to classify them. For feature extraction from the synthesized sonar signals, a matching pursuit algorithm was used. The experimental results depending on the number of observations and signal-to-noise ratios are presented with our discussions.

収録刊行物

  • IEICE transactions on fundamentals of electronics, communications and computer sciences

    IEICE transactions on fundamentals of electronics, communications and computer sciences 94(10), 2039-2042, 2011-10-01

    一般社団法人 電子情報通信学会

参考文献:  10件中 1-10件 を表示

各種コード

  • NII論文ID(NAID)
    10030191332
  • NII書誌ID(NCID)
    AA10826239
  • 本文言語コード
    ENG
  • 資料種別
    SHO
  • ISSN
    09168508
  • データ提供元
    CJP書誌  J-STAGE 
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