Feature Detection of Acoustically Induced Sea Surface Micro-motions with Terahertz Radar

被引：0
|
作者：
Deng B. [1 ]
Li T. [1 ]
Tang B. [1 ]
Yi J. [1 ]
Wang H. [1 ]
Yang Q. [1 ]
机构：
[1] College of Electronic Science and Technology, National University of Defense Technology, Changsha
来源：
Journal of Radars | 2023年 / 12卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Acoustic water surface; Micro-motion signal detection; Phase ranging; Terahertz radar; Wavelet-Kalman filtering;
D O I：
10.12000/JR23117
中图分类号：
学科分类号：
摘要：
When underwater acoustic signals propagate to the water surface, the acoustic impedance difference between water and air leads to transverse microamplitude waves on the water surface. These waves carry vibration frequencies containing relevant information about the sound source. Radar systems detect the slight displacement of the target through the phase difference between the target echoes; hence, radar systems can be used to detect small displacement changes on the water surface, thereby obtaining the water-surface vibration signal and subsequently inverting the underwater sound source information. In this study, we first analyzed the attenuation characteristics of underwater sound propagation and the physical model of water-surface vibration. Building upon the radar echo model for detecting acoustic water-surface vibration, we proposed a wavelet-Kalman filter signal detection method through theoretical analysis. Lastly, experiments were conducted in the large-scale comprehensive anechoic pool and the Yellow Sea water using terahertz radar for acoustic water-surface micromotion signal detection. The results demonstrate the capability of the terahertz radar to successfully detect acoustic water-surface microvibrations. The proposed method effectively filters water-surface interference and radar phase noise and extracts vibration signals. For the first time, submicron vibration signals were detected under a secondary sea state, providing a foundation for water-space transmedia information transmission and underwater vehicle detection. © 2023 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
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页码：818 / 881
页数：63
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