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IDENTIFICATION OF SONAR DETECTION SIGNAL BASED ON FRACTIONAL FOURIER TRANSFORM

Abstract

Aiming at the source of underwater acoustic emission, in order to identify the enemy emission sonar source accurately. Using the digital watermarking technology and combining with the good time-frequency characteristics of fractional Fourier transform (FRFT),this paper proposes a sonar watermarking method based on fractional Fourier transform. The digital watermark embedding in the fractional Fourier transform domain and combined with the coefficient properties of the sonar signal in the fractional Fourier transform to select the appropriate watermark position. Using the different characteristics of the signals before and after embedding, an adaptive threshold was set for the watermark detection to realize the discrimination of sonar signals. The simulation results show the feasibility and has better resolution and large watermark capacity of this method, while the robustness of the watermark is better, and the detection precision is further improved.

Keywords:

Fractional Fourier transform, Watermark, Sonar

Details

Issue
Vol. 25 No. S2(98) (2018)
Section
Latest Articles
Published
10-09-2018
DOI:
https://doi.org/10.2478/pomr-2018-0083
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Wang Biao

    School of Electronic and Information; Jiangsu University of Science and Technology, Faculty of School of Electronic and Information; Key Laboratory of Underwater Acoustic Warfare Technology
  • Tang Jiansheng

    Key Laboratory of Underwater Acoustic Warfare Technology
  • Yu Fujian

    Key Laboratory of Underwater Acoustic Warfare Technology
  • Zhu Zhiyu

    School of Electronic and Information, Jiangsu University of Science and Technology

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