이동 배열 하이드로폰을 이용한 수조 내에서 음원 위치 탐지

Abstract

Recently, the synthetic aperture technique is used for acquiring high-resolution underwater acoustic images. The same technique can be also applied to determine precise source location with moving receivers. In 2013 Korea Research Institute of Ships and Ocean Engineering (KRISO) performed an experiment, the goal of which was to investigate a signal processing method for high-precision source localization. As a localization algorithm we used synthetic aperture processing &#8211 spatial frequency domain interpolation method. For verification of the algorithm numerical simulation has been done assuming surface and bottom reflections. Simulation results show that the accurate locations of image sources as well as the actual source can be obtained. The experiment was performed in a large-size shallow-water tank (50 m x 35 m x 3.2 m). A fixed omni-directional source and a moving horizontal linear array of eight standard hydrophones were used. The moving speed was varied from 0.05 m/s to 1 m/s. We used both broad-band and narrow-band signals for the transmitter. The results say that we can also identify the source location. However, we found that more processing is needed for higher moving speed case to get precise source location. of Ships and Ocean Engineering (KRISO) performed an experiment, the goal of which was to investigate a signal processing method for high-precision source localization. As a localization algorithm we used synthetic aperture processing &#8211 spatial frequency domain interpolation method. For verification of the algorithm numerical simulation has been done assuming surface and bottom reflections. Simulation results show that the accurate locations of image sources as well as the actual source can be obtained. The experiment was performed in a large-size shallow-water tank (50 m x 35 m x 3.2 m). A fixed omni-directional source and a moving horizontal linear array of eight standard hydrophones were used. The moving speed was varied from 0.05 m/s to 1 m/s. We used both broad-band and narrow-band signals for the transmitter. The results say that we can also identify the source location. However, we found that more processing is needed for higher moving speed case to get precise source location.