<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Identification of Sonar Detection Signal Based on Fractional Fourier Transform

Jiangsu University of Science and Technology

Key Laboratory of Underwater Acoustic Warfare Technology

Polish Maritime Research

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

{"article-title":"Identification of Sonar Detection Signal Based on Fractional Fourier Transform"}

Aiming at the source of underwater acoustic emission, in order to identify the enemy emission sonar source accurately. Using the digital watermarking...

Identification of Sonar Detection Signal Based on Fractional Fourier Transform

Data publikacji: 10 wrz 2018

Zakres stron: 125 - 131

DOI: https://doi.org/10.2478/pomr-2018-0083

Słowa kluczowe
Fractional Fourier transform, Watermark, Sonar

© 2018 Wang Biao et al., published by Sciendo

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

Identification of Sonar Detection Signal Based on Fractional Fourier Transform

Data publikacji: 10 wrz 2018

Zakres stron: 125 - 131

DOI: https://doi.org/10.2478/pomr-2018-0083

Słowa kluczoweFractional Fourier transform, Watermark, Sonar

© 2018 Wang Biao et al., published by Sciendo

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

Słowa kluczowe
Fractional Fourier transform, Watermark, Sonar