Research on Information Transmission Technology Through the Water–Air Interface Combining a Sonar and a Radar

Shi, Qiang; He, Zhengyao; Hong, Xu; Gao, Jingshang; Zhao, Pengkun

doi:10.1109/jsen.2023.3244660

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2024

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Cited by 3 publications

(1 citation statement)

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“…Communication across the air-water interface has drawn growing interest in recent years [4] [28]. Links from underwater to the air have been established using translational acousticradio frequency communication technology [29][30] and visible light [31] [32].…”

Section: Related Workmentioning

confidence: 99%

Optical Focusing-Based Adaptive Modulation for Air-to-Underwater Optoacoustic Communication

Mahmud,

Younis,

Choa

et al. 2024

IEEE Sensors J.

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Section: Related Workmentioning

confidence: 99%

Optical Focusing-Based Adaptive Modulation for Air-to-Underwater Optoacoustic Communication

Mahmud,

Younis,

Choa

et al. 2024

IEEE Sensors J.

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Spiking Neural Network-based Demodulation Scheme for Optoacoustic Communications

Galib,

Mahmud,

Younis

et al. 2024

ICC 2024 - IEEE International Conference on Communications

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Extraction of Underwater Acoustic Signals across Sea–Air Media Using Butterworth Filtering

Cui,

Cao,

Yang

et al. 2024

JMSE

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Direct wireless communication through sea–air media is essential for constructing an integrated communication network that spans space, air, land, and sea. The amplitude of acoustically induced micromotion surface waves is much smaller than the noise interference in complex sea states, making the accurate extraction of these signals from the raw signals detected by an FMCW millimeter-wave radar a major challenge. In this paper, Butterworth filtering is used to extract underwater acoustic signals from the surface waves detected by radar. The physical processes of the channel were simulated theoretically and verified experimentally. The results demonstrate a fitting coefficient of 0.99 between the radar-detected water surface waves and the simulation outcomes, enabling the effective elimination of noise interference and the extraction of acoustically induced micromotion signals in environments with a signal-to-noise ratio (SNR) of −20 dB to −10 dB. Experiments modifying frequency and linear frequency modulation have verified that the usable frequency range for underwater acoustic signals is at least 400 Hz, meeting the frequency requirements of Binary Frequency Shift Keying (2FSK) modulation encoding methods. This research confirms the accuracy of the simulation results and the feasibility of filtering and extracting underwater acoustic signals, providing a theoretical basis and an experimental foundation for building cross-media communication links.

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Research on Information Transmission Technology Through the Water–Air Interface Combining a Sonar and a Radar

Cited by 3 publications

References 25 publications

Optical Focusing-Based Adaptive Modulation for Air-to-Underwater Optoacoustic Communication

Optical Focusing-Based Adaptive Modulation for Air-to-Underwater Optoacoustic Communication

Spiking Neural Network-based Demodulation Scheme for Optoacoustic Communications

Extraction of Underwater Acoustic Signals across Sea–Air Media Using Butterworth Filtering

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