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| Citation: | DENG Bin, LI Tao, TANG Bin, et al. Feature detection of acoustically induced sea surface micro-motions with Terahertz radar[J]. Journal of Radars, 2023, 12(4): 817–831. doi: 10.12000/JR23117
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Feature Detection of Acoustically Induced Sea Surface Micro-motions with Terahertz Radar
doi: 10.12000/JR23117
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Abstract
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. -
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References
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- Figure 1. Schematic of amplitude and attenuation coefficient as a function of frequency
- Figure 2. Schematic diagram of top view and longitudinal profile amplitude of acoustic water surface vibration
- Figure 3. Flowchart of wavelet-Kalman filtering algorithm
- Figure 4. Pool experiment scene
- Figure 5. Schematic diagram of the emitted signal
- Figure 6. 122.5 GHz Terahertz radar underwater 0.2 m sound source without interference single-frequency signal processing results
- Figure 7. Microwave radar underwater 0.2 m sound source without interference single-frequency signal processing results
- Figure 8. Frequency analysis of interference-free single-frequency signal processing for Terahertz radar detection of underwater 0.2 m sound source
- Figure 9. 0.2 m interference-free linear FM signal and BPSK signal processing results
- Figure 10. 0.5 m sound source without interference single-frequency signal processing results
- Figure 11. 1.0 m sound source without interference single-frequency signal processing results
- Figure 12. 0.2 m band interference signal processing results
- Figure 13. Schematic and scene diagram of the sea surface experiment
- Figure 14. Sea surface undulation distance image and vibration information
- Figure 15. Results of 300~500 Hz single-frequency signal processing at 0.5 m
- Figure 16. Results of 300 Hz signal processing in secondary sea state
- Figure 17. Semi-physical method to derive detection amplitude