Vernier 신호 분석에서 자기상관함수 기반의 후처리를 이용한 주파수선 음향징표 특징 강화 = Enhancement of Frequency Lines of Acoustic Signature in Vernier Analysis Using the Autocorrelation-based Postprocessing

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 배건성, "육상식별센터를 위한 견실한 표적특징 추출 및 식별에 관한 연구" 국방과학연구소 2007

2 이정호, "수동소나 시스템에서 주파수선 및 고조파 성분의 검출 성능 향상" 29 (29): 2010

3 R. J. Urick, "Principles of Underwater Sound" McGraw-Hill 1983

4 Shapiro J. H, "Performance of split-window multipass-mean noise spectral estimators" 36 (36): 1360-1370, 2000

5 J.L Terry, "Passive sonar harmonic detection using feature extraction and clustering analysis" 3 : 2760-2766, 2005

6 X. Lurton, "An introduction to underwater acoustics principle and application" Springer 2002