해양생물음 기반 소나 신호를 위한 민어소리 재현 알고리즘 연구

Abstract

The sonar technology based on marine biological sounds can be utilized in various fields, such as underwater covert target detection and communication. To develop sonar technology based on marine biological sounds, it is essential to first conduct research on the acoustic characteristics of the target marine species. Based on the analyzed data, research on signal reproduction algorithms should be carried out. In this study, we conducted research on the acoustic characteristics analysis and signal reproduction algorithms for the brown croaker, one of the species mainly inhabiting the southwestern coast of the Korean Peninsula. From the brown croaker sounds measured for approximately 100 min in a land-based tank, we analyzed the signal length, number of pulses, interval between pulses, peak frequency, and –3 dB bandwidth. Based on these acoustic characteristics, various brown croaker sounds were reproduced using a combination of wavelets and sinusoids. We performed similarity analysis with the actual measured brown croaker sounds by obtaining the maximum value of the normalized 2D cross-correlation in the spectrogram. ©2024 The Acoustical Society of Korea.