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http://dx.doi.org/10.6109/jkiice.2013.17.3.546

Enhancement of Frequency Lines of Acoustic Signature in Vernier Analysis Using the Autocorrelation-based Postprocessing  

Lee, Jungho ((주)LIG넥스원)
Bae, Keunsung (경북대학교)
Abstract
In this paper, we propose a novel method to enhance the harmonic components from the frequency lines of the passive sonar signals. For this, we first separate the stable frequency lines from unstable ones using mean and difference of spectral bins in the vernier analysis. Then we emphasize the harmonic components using autocorrelation-based postprocessing, and enhance them by reducing the background noise with the split-window two pass mean algorithm. Experimental results for real underwater acoustic data are presented with our discussions.
Keywords
Underwater acoustics; Passive sonar; Frequency lines; Vernier analysis; Split-window two pass mean;
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  • Reference
1 R. J. Urick, Principles of Underwater Sound 3rd edition, New York, McGraw-Hill, 1983.
2 X. Lurton, An introduction to underwater acoustics principle and application, Springer, 2002.
3 J.L Terry, A, Crampton, C.J. Talbot, "Passive sonar harmonic detection using feature extraction and clustering analysis," Oceans Proceedings of MTS/IEEE, vol. 3, pp. 2760-2766, 2005.
4 이정호, 배건성, "수동소나 시스템에서 주파수선 및 고조파 성분의 검출 성능 향상", 한국음향학회 학술발표대회 논문집, 29권 1(s)호, 2010
5 배건성, 이균경, 육상식별센터를 위한 견실한 표적 특징 추출 및 식별에 관한 연구, 국방과학연구소 연구보고서, 2007
6 Shapiro J. H, Green T, "Performance of split-window multipass-mean noise spectral estimators," IEEE Transactions of Aerospace and Electronic Systems, vol. 36, no. 4, pp. 1360-1370, Oct. 2000.   DOI   ScienceOn