Ultrasound Communication Using the Nonlinearity Effect of Microphone Circuits in Smart Devices

IF 3.9 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Sensor Networks Pub Date : 2024-01-16 DOI:10.1145/3631120
Guoming Zhang, Xiaoyu Ji, Xinyan Zhou, Donglian Qi, Wenyuan Xu
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Abstract

Acoustic communication has become a research focus without requiring extra hardware and facilitates numerous near-field applications such as mobile payment. To communicate, existing researchers either use audible frequency band or inaudible one. The former gains a high throughput but endures being audible, which can be annoying to users. The latter, although inaudible, falls short in throughput due to the available (near) ultrasonic bandwidth. In this paper, we achieve both high speed and inaudibility for acoustic communication by utilizing the nonlinearity effect on microphones. We theoretically prove the maximum throughput of inaudible acoustic communication by modulating audible signal onto ultrasonic band. Then, we design and implement UltraComm, which utilizes a specially-designed OFDM scheme. The scheme takes into account the characteristics of the nonlinear speaker-to-microphone channel, aiming to mitigate the effects of signal distortion. We evaluate UltraComm on different mobile devices and achieve throughput as high as 16.24 kbps.

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利用智能设备中麦克风电路的非线性效应进行超声波通信
声学通信已成为研究重点,它不需要额外的硬件,可为移动支付等众多近场应用提供便利。为了进行通信,现有研究人员要么使用可听频段,要么使用不可听频段。前者可获得较高的吞吐量,但要忍受发声,这可能会让用户感到厌烦。后者虽然听不见,但由于可用的(近)超声波带宽,吞吐量不足。在本文中,我们利用麦克风的非线性效应,实现了声学通信的高速和不可听。我们通过将可听信号调制到超声波频段,从理论上证明了不可听声波通信的最大吞吐量。然后,我们设计并实现了 UltraComm,它采用了专门设计的 OFDM 方案。该方案考虑了非线性扬声器到麦克风信道的特性,旨在减轻信号失真的影响。我们在不同的移动设备上对 UltraComm 进行了评估,其吞吐量高达 16.24 kbps。
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来源期刊
ACM Transactions on Sensor Networks
ACM Transactions on Sensor Networks 工程技术-电信学
CiteScore
5.90
自引率
7.30%
发文量
131
审稿时长
6 months
期刊介绍: ACM Transactions on Sensor Networks (TOSN) is a central publication by the ACM in the interdisciplinary area of sensor networks spanning a broad discipline from signal processing, networking and protocols, embedded systems, information management, to distributed algorithms. It covers research contributions that introduce new concepts, techniques, analyses, or architectures, as well as applied contributions that report on development of new tools and systems or experiences and experiments with high-impact, innovative applications. The Transactions places special attention on contributions to systemic approaches to sensor networks as well as fundamental contributions.
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