음향 신호에 내재된 잡음의 효율적인 소거 방법

Abstract

The hydro–acoustic technology has been widely used in not only South Korea but also many foreign countries for various scientific purposes. Unfortunately acoustic data especially collected from field surveys may contain noises caused by a variety of sources. Therefore, it is exceedingly important to eliminate noises when acoustic data are analyzed to derive quantitative results. This study introduced two methods for eliminating noises easily and effectively using post–processing software. Used acoustic data were collected on the Jinhae bay and Tongyeong coast of the South Sea in April 2015. The first method, that is the Wang’s method, placed emphasis on ‘erosion filter’ and ‘data range bitmap’ to eliminate only data samples contaminated by noises. The second method (Yamandu’s method) focused on the ‘resample by number of pings’ to remove pings contained noises. To substantiate the effectiveness of two methods, the mean Sv (Volume backscattering strength), mean height and depth of the fish schools detected were compared between before and after using the noise elimination methods. In the Wang’s method the mean Sv was decreased from –52.4 dB to –52.9 dB, and in the Yamandu’s method from –52.6 dB to –53.3 dB, indicating that noises were successfully eliminated. The mean height (1.5 m) and depth (19.0 m) were same between before and after using two methods showing that the shapes of fish schools were not changed.