Ultrasonic Wireless Communication Through Metal Barriers

Zhang, Jianing; Yang, Hengxu; Wu, Ming Jenn; Jun, Yang

doi:10.32604/sv.2019.03783

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Traditional wireless communication based on electromagnetic waves is ineffective due to the Faraday shielding effect. Ultrasound propagates readily in metal; therefore, it has been suggested to replace electromagnetic waves for through-metal communication [6][7][8][9]. However, the acoustic impedance mismatch between the ultrasonic transducer and the metal structure leads to numerous acoustic reflections at interfaces.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation

Zhang,

Jiang,

Zhang

et al. 2024

Sensors

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Ultrasound is extremely efficient for wireless signal transmission through metal barriers due to no limit of the Faraday shielding effect. Echoing in the ultrasonic channel is one of the most challenging obstacles to performing high-quality communication, which is generally coped with by using a channel equalizer or pre-distorting filter. In this study, a deep learning algorithm called a dual-path recurrent neural network (DPRNN) was investigated for echo cancellation in an ultrasonic through-metal communication system. The actual system was constructed based on the combination of software and hardware, consisting of a pair of ultrasonic transducers, an FPGA module, some lab-made circuits, etc. The approach of DPRNN echo cancellation was applied to signals with a different signal-to-noise ratio (SNR) at a 2 Mbps transmission rate, achieving higher than 20 dB SNR improvement for all situations. Furthermore, this approach was successfully used for image transmission through a 50 mm thick aluminum plate, exhibiting a 24.8 dB peak-signal-to-noise ratio (PSNR) and a about 95% structural similarity index measure (SSIM). Additionally, compared with three other echo cancellation methods—LMS, RLS and PNLMS—DPRNN has demonstrated higher efficiency. All those results firmly validate that the DPRNN algorithm is a powerful tool to conduct echo cancellation and enhance the performance of ultrasonic through-metal transmission.

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Section: Introductionmentioning

confidence: 99%

Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation

Zhang,

Jiang,

Zhang

et al. 2024

Sensors

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“…The methods employed for modulation include frequency-shift keying (FSK), amplitude-shift keying (ASK), chirp on-off keying (Chirp-OOK), pulse position modulation (PPM), orthogonal frequency-division multiplexing (OFDM) and code-division multiple access (CDMA), among others. Some researchers have used metal pipes [20][21][22][23][24][25][26][27], thick metal barriers [28][29][30][31][32][33][34][35][36], and plates [37][38][39][40][41][42] as communication channel.…”

mentioning

confidence: 99%

Automatic Guided Waves Data Transmission System Using an Oil Industry Multiwire Cable

Trane

Mijarez

Díaz

2020

Sensors

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Alternative wireless data communication systems are a necessity in industries that operate in harsh environments such as the oil and gas industry. Ultrasonic guided wave propagation through solid metallic structures, such as metal barriers, rods, and multiwire cables, have been proposed for data transmission purposes. In this context, multiwire cables have been explored as a communication media for the transmission of encoded ultrasonic guided waves. This work presents the proprietary hardware design and implementation of an automatic data transmission system based on the propagation of ultrasonic guided waves using as communication channels a high-temperature and corrosion-resistant oil industry multiwire cable. A dedicated communication protocol has been implemented at physical and data link layers, which involved pulse position modulation (PPM), digital signal processing (DSP), and an integrity validation byte. The data transmission system was composed of an ultrasonic guided waves PPM encoded data transmitter, a 1K22 MP-35N multiwire cable, a hardware preamplifier, a data acquisition module, a real-time (RT) DSP LabVIEW (National Instruments, Austin, TX) based demodulator, and a human-machine interface (HMI) running on a personal computer. To evaluate the communication system, the transmitter generated 60 kHz PPM energy packets containing three different bytes and their corresponding integrity validation bytes. Experimental tests were conducted in the laboratory using 1 and 10 m length cables. Although a dispersive solid elastic media was used as a communication channel, results showed that digital data transmission rates, up to 470 bps, were effectively validated.

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Ultrasonic Wireless Communication Through Metal Barriers

Cited by 2 publications

References 18 publications

Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation

Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation

Automatic Guided Waves Data Transmission System Using an Oil Industry Multiwire Cable

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