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Abstrakty
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.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
125--131
Opis fizyczny
Bibliogr. 10 poz., rys., tab.
Twórcy
autor
- School of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu Prov., China
- Key Laboratory of Underwater Acoustic Warfare Technology, Beijing, China
autor
- Key Laboratory of Underwater Acoustic Warfare Technology, Beijing, China
autor
- Key Laboratory of Underwater Acoustic Warfare Technology, Beijing, China
autor
- School of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu Prov., China
Bibliografia
- 1. JinCong.Digital Watermarking Theory and Technology. [M].Beijing Tsinghua University press,2008
- 2. Mobasseri B G, Lynch R S, Carter G C. Information Embedding in Sonar for Authentication and Identification[J]. IEEE Aerospace Conference Proceedings, 2008:1-5.
- 3. [3] Mobasseri B G, Lynch R S. Sonar authentication performance evaluation under realistically simulated undersea channels[J]. Proceedings of SPIE – The International Society for Optical Engineering, 2010, 7678:76780R-76780R-10.
- 4. Mobasseri B G, Lynch R S, Chakilam N. Watermarking sonar waveforms using knowledge of channel coherence[C]//Oceans. IEEE, 2010:1-8.
- 5. PING Xian-jun Tao-ran ZHOU Si-yong. A new fast algorithm of fractional Fourier transform [J]. Electronic journal, 2001,29 (3): 406-408
- 6. Wang Juan-feng. Research on digital watermarking algorithm based on fractional Fourier domain image features.[D] Zhengzhou University, 2007
- 7. Bultheel A, Sulbaran H E M. Computation of the fractional Fourier transform[J]. Applied & Computational Harmonic Analysis, 2004,16(3):182-202.
- 8. Cheng Xue. Digital watermarking technology based on fractional Fourier transform [D]. Nanjing University of Science and Technology, 2009
- 9. Pei S C, Ding J J. Fractional Fourier transform, wigner distribution,and filter design for stationary and nonstationary random processes[J]. Signal Processing IEEE Transactions on, 2010, 58(8):4079-4092.
- 10. Zhu Jian-dong, Zhao Yong-jun, Tang-Jiang. Detection and estimation of linear frequency modulated continuous wave signal in periodic fractional Fourier transform [J]. Journal of electronic and information science, 2013, 35 (8): 1827-1833.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
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