Cross-Medium Communication Combining Acoustic Wave and Millimeter Wave: Theoretical Channel Model and Experiments

Qu, Fengzhong; Qian, Jingyu; Wang, Jie; Lu, Xuesong; Zhang, Minhao; Bai, Xuerui; Ran, Zhouhua; Tu, Xingbin; Zu-bin, Liu; Wei, Yan

doi:10.1109/joe.2021.3120373

Cited by 22 publications

(11 citation statements)

References 27 publications

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“…During the signal processing, the signals were artificially added with the same decomposition Gaussian white noise, and wavelet denoising was performed on each IMF to reduce the influence of the errors on the subsequent signal reconstruction. The IMF corresponding to the initial reconstruction scale was determined using Equation (17), and then the IMF corresponding to the reconstruction scale k was determined using Equation (18). Thus, the reconstruction scale k corresponding to the IMFs included the WSAW signals.…”

Section: Resultsmentioning

confidence: 99%

“…The incident sound pressure is p i , the incident angle is 0 • , and the angular frequency is ω; the initial position change of the free water surface can be expressed as [18]:…”

Section: Water-air Interfacementioning

confidence: 99%

“…include buoy communication [10,11], optical communication [12,13], opto-acousto communication [14][15][16], and acoustic-electromagnetic communication [17][18][19].…”

mentioning

confidence: 99%

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Combined Improved CEEMDAN and Wavelet Transform Sea Wave Interference Suppression

et al. 2023

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Cross water–air interface acoustic and electromagnetic integrated communication (AEIC) technology refers to an underwater speaker that excites the water surface micro-amplitude wave (WSAW) on the water’s surface, and millimeter wave radar detects the vibrations of the WSAW to realize the transmission of information. The research on cross-media communication meets many challenges due to the large amplitude of the water surface disturbance and the small amplitude of the WSAW. In this paper, a novel sea wave interference suppression method based on improved complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet transform (WT) is presented. This method divides the phase change into different intrinsic mode functions (IMFs) and obtains a reconstructed scale of the WSAW signal through wavelet decomposition and correlation procession to separate the WSAW signal and the sea wave interference. It is proved to be better than the reference filtering method by experiment. By using this novel method, the bit error rate (BER) of the communication system can be reduced effectively.

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Section: Resultsmentioning

confidence: 99%

“…The incident sound pressure is p i , the incident angle is 0 • , and the angular frequency is ω; the initial position change of the free water surface can be expressed as [18]:…”

Section: Water-air Interfacementioning

confidence: 99%

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Combined Improved CEEMDAN and Wavelet Transform Sea Wave Interference Suppression

et al. 2023

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“…This comparison was made based on Power Transfer Efficiency (PTE) and Power Delivered to the Load (PDL) parameters, and they also explored the integration of both methods for optimal transmission. Qu et al [53] simulated cross-medium Water-Air transmission by combining Acoustic Wave and Millimeter Wave, using a simple mathematical approach. Assuming that the incoming sound pressure is p i and the arrival angle is 0 • , the change in the initial position on the free water surface can be expressed as:…”

Section: Acousticmentioning

confidence: 99%

“…Has a risk of transmission loss due to signal absorption and a longer transmission time than MI [16], [17], [18], [19], [20], [51], [21], [22], [23], [52], [53], [54], [55] UAET optimization using Piezoelectric antenna or Hydrophone Acoustic-based Underwater-WPDT Can effectively transmit power and data in an underwater environment based on acoustic vibration waves Implementation costs are high because it requires specially designed metamaterial sender and receiver components to capture microwaves [24], [25], [26], [27], [30], [31], [32], [33], [34], [56], [57], [58], [59] Optic Transmitter-Receiver Optimization using Micro-LED circuit to minimize data loss from scattered or unfocused rays…”

Section: Has a Distance With A Fairly Good Transmission Success Perce...mentioning

confidence: 99%

A Survey on Underwater Wireless Power and Data Transfer System

Wibisono,

Alsharif,

Song

et al. 2024

IEEE Access

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This research extensively explores contemporary techniques in Underwater Wireless Power and Data Transfer (WPDT), as found in recent literature over the past 5 years. These techniques involve Magnetic Induction (MI), acoustic communication, and optical communication. The study aims to evaluate transmission efficiency, propose solutions to overcome range limitations, facilitate integration, and precisely map multilayer networks. The research methodology includes proposed solutions to address the limitations of each transmission technique, multilayer network mapping, and model validation. Evaluation is conducted on the relative efficiency of each method, including power loss at each layer, the connection matrix between layers, and transmission speed. Simulations reveal power loss at nodes in each layer and the connection matrix between layers. The power loss at each node shows random values, providing a realistic aspect close to real-world scenarios, offering in-depth insights into the characteristics and performance of multilayer networks in an underwater context. The research series, involving literature elaboration, technological approaches, illustrations, and simulations, demonstrates the effectiveness of the proposed model. Simulation results indicate the potential of this model in real-world scenarios, with tolerable power loss values, suggesting that multilayer networks could be a solution to classic challenges in underwater power and data transmission. The hope of this preliminary study is to provide new insights and make a significant contribution to understanding and designing reliable underwater power and data transfer systems in the future.

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Air-ice-water cross-media communication by using laser-generated sound technology

Zhao,

Chen,

Zhang

et al. 2025

Applied Acoustics

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Cross-Medium Communication Combining Acoustic Wave and Millimeter Wave: Theoretical Channel Model and Experiments

Cited by 22 publications

References 27 publications

Combined Improved CEEMDAN and Wavelet Transform Sea Wave Interference Suppression

Combined Improved CEEMDAN and Wavelet Transform Sea Wave Interference Suppression

A Survey on Underwater Wireless Power and Data Transfer System

Air-ice-water cross-media communication by using laser-generated sound technology

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