Ultrasound Communication Using the Nonlinearity Effect of Microphone Circuits in Smart Devices
Article No.: 53, Pages 1 - 22
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 use either an audible frequency band or an 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 article, 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 an audible signal onto an 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.
References
[1]
Avisoft Bioacoustics. 2017. Ultrasonic Dynamic Speaker Vifa. http://www.avisoft.com/usg/vifa.htm
[2]
Gordon K. C. Chen and James J. Whalen. 1980. Macromodel predictions for EMI in bipolar operational amplifiers. IEEE Transactions on Electromagnetic Compatibility4 (1980), 262–265.
[3]
Franco Fiori. 2002. A new nonlinear model of EMI-induced distortion phenomena in feedback CMOS operational amplifiers. IEEE Transactions on Electromagnetic Compatibility 44, 4 (2002), 495–502.
[4]
Franco Fiori and Paolo S. Crovetti. 2002. Nonlinear effects of radio-frequency interference in operational amplifiers. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 49, 3 (2002), 367–372.
[5]
Vadim Gerasimov and Walter Bender. 2000. Things that talk: Using sound for device-to-device and device-to-human communication. IBM Systems Journal 39, 3.4 (2000), 530–546.
[6]
Sergio Graffi, Guido Masetti, and Domenico Golzio. 1991. New macromodels and measurements for the analysis of EMI effects in 741 op-amp circuits. IEEE Transactions on Electromagnetic Compatibility 33, 1 (1991), 25–34.
[7]
Mark F. Hamilton, Blackstock, and David T. 1998. Nonlinear acoustics. Academic press San Diego.
[8]
Michael Hanspach and Michael Goetz. 2014. On covert acoustical mesh networks in air. arXiv preprint arXiv:1406.1213 (2014).
[9]
Thomas Hosman, Mark Yeary, John K Antonio, and Brent Hobbs. 2010. Multi-tone FSK for ultrasonic communication. In Instrumentation and Measurement Technology Conference (I2MTC ’10). IEEE, 1424–1429.
[10]
Soonwon Ka, Tae Hyun Kim, Jae Yeol Ha, Sun Hong Lim, Su Cheol Shin, Jun Won Choi, Chulyoung Kwak, and Sunghyun Choi. 2016. Near-ultrasound communication for TV’s 2nd screen services. In Proceedings of the International Conference on Mobile Computing and Networking (MobiCom), ACM, 42–54.
[11]
Denis Foo Kune, John Backes, Shane S. Clark, Daniel Kramer, Matthew Reynolds, Kevin Fu, Yongdae Kim, and Wenyuan Xu. 2013. Ghost talk: Mitigating EMI signal injection attacks against analog sensors. In Symposium on IEEE Security and Privacy. 145–159.
[12]
Hyewon Lee, Tae Hyun Kim, Jun Won Choi, and Sunghyun Choi. 2015. Chirp signal-based aerial acoustic communication for smart devices. In Proceedings of IEEE Infocom. 2407–2415.
[13]
Cristina Videira Lopes and Pedro M. Q. Aguiar. 2001. Aerial acoustic communications. In 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics. IEEE, 219–222.
[14]
Hosei Matsuoka, Yusuke Nakashima, and Takeshi Yoshimura. 2006. Acoustic communication system using mobile terminal microphones. NTT DoCoMo Technical Journal 8, 2 (2006), 2–12.
[15]
Rajalakshmi Nandakumar, Krishna Kant Chintalapudi, Venkat Padmanabhan, and Ramarathnam Venkatesan. 2013. Dhwani: Secure peer-to-peer acoustic NFC. In Proceedings of ACM SIGCOMM CCR, Vol. 43. 63–74.
[16]
Ed Novak, Zhuofan Tang, and Qun Li. 2019. Ultrasound proximity networking on smart mobile devices for IoT applications. IEEE Internet of Things Journal 6, 1 (2019), 399–409.
[17]
Shuichi Ohno, Emmanuel Manasseh, and Masayoshi Nakamoto. 2011. Preamble and pilot symbol design for channel estimation in OFDM systems with null subcarriers. EURASIP Journal on Wireless Communications and Networking 2011, 1 (2011), 2.
[18]
Chunyi Peng, Guobin Shen, Yongguang Zhang, Yanlin Li, and Kun Tan. 2007. Beepbeep: A high accuracy acoustic ranging system using cots mobile devices. In Proceedings of ACM SenSys. 1–14.
[19]
Nirupam Roy, Haitham Hassanieh, and Romit Roy Choudhury. 2017. Backdoor: Making microphones hear inaudible sounds. In Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. 2–14.
[20]
G. Enrico Santagati and Tommaso Melodia. 2017. A software-defined ultrasonic networking framework for wearable devices. IEEE/ACM Transactions on Networking 25, 2 (2017), 960–973.
[21]
Jinci Technologies. 2017. Open structure product review. http://www.jinci.cn/en/goods/112.html
[22]
Keysight Technologies. 2024. N5172B EXG X-Series RF Vector Signal Generator, 9 kHz to 6 GHz. Retrieved from http://www.keysight.com/en/pdx-x201910-pn-N5172B
[23]
Wen-Kung Tseng. 2015. A directional audible sound system using ultrasonic transducers. International Journal of Advanced Research in Artificial Intelligence 4, 9 (2015), 11–16.
[24]
Piet Wambacq and Willy Sansen. 2013. Distortion Analysis of Analog Integrated Circuits. Vol. 451. Springer Science & Business Media.
[25]
Qian Wang, Kui Ren, Man Zhou, Tao Lei, Dimitrios Koutsonikolas, and Lu Su. 2016. Messages behind the sound: Real-time hidden acoustic signal capture with smartphones. In Proceedings of ACM MobiCom. 29–41.
[26]
Chen Yan, Guoming Zhang, Xiaoyu Ji, Tianchen Zhang, Taimin Zhang, and Wenyuan Xu. 2019. The feasibility of injecting inaudible voice commands to voice assistants. IEEE Transactions on Dependable and Secure Computing 18, 3 (2019), 1108–1124.
[27]
Hwan Sik Yun, Kiho Cho, and Nam Soo Kim. 2010. Acoustic data transmission based on modulated complex lapped transform. IEEE Signal Processing Letters 17, 1 (2010), 67–70.
[28]
Bingsheng Zhang, Qin Zhan, Si Chen, Muyuan Li, Kui Ren, Cong Wang, and Di Ma. 2014. PriWhisper: Enabling keyless secure acoustic communication for smartphones. IEEE Internet of Things Journal 1, 1 (2014), 33–45.
[29]
Guoming Zhang, Chen Yan, Xiaoyu Ji, Tianchen Zhang, Taimin Zhang, and Wenyuan Xu. 2017. DolphinAttack: Inaudible voice commands. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security. ACM, 103–117.
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Publication History
Published: 23 February 2024
Online AM: 16 January 2024
Accepted: 05 October 2023
Revised: 22 August 2023
Received: 28 June 2022
Published in TOSN Volume 20, Issue 3
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