An underwater acoustic imaging method for pattern recognition

• 来源期刊: 声学学报（英文版）
• 年，卷（期）: 2020,（4）
• 页码范围: 468-481
• 页数: 14页
• 语种: 英文

摘要

An underwater acoustic imaging method for pattern recognition in a free-field en-vironment was proposed,where angular domain filtering is used to separate plane waves from different directions of space in the array element domain. In particular,a series of angular do-main bandpass filters are designed,where the output from these filters is the snapshot of data from an incident plane wave within the angular passband in the array element domain. Our approach is potentially applicable to pattern recognition algorithms,such as target recogni?tion and bottom classification,which need the characteristic data of the array element domain.Moreover,underwater acoustic imaging may be performed by using the amplitude of snapshots from the angular domain filters as the pixel values. The angular domain filtering method may be used for underwater acoustic imaging to obtain the desired sound image,and each pixel corresponds to a snapshot of data generated by far-field plane wave coming from the target and hitting the receiving array. Simulation and experimental results show that the sound images obtained by filtering in the angular domain are close to those obtained by the conventional beamforming method. We also find that the two imaging methods are robust to the transducer array element errors.