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Indoor pseudo-ranging of mobile devices using ultrasonic chirps

Published: 06 November 2012 Publication History

Abstract

In this demonstration, we show an indoor location tracking system that broadcasts ranging data to mobile phones using ultrasonic signals. The system capitalizes on the ability for many smart-phones to detect audio above the human hearing range. This approach provides enhanced ranging capabilities to mobile devices without adding to or modifying their hardware. In [1], we describe a modulation scheme based on rate-adaptive wide-band linear frequency modulated chirp pulses that can be transmitted from standard audio tweeters at just above the human hearing frequency range. Acoustic data transmissions (even outside of the human hearing range), typically introduce audible noises (clicks) due to the non-ideal impulse response of speakers. Our scheme is optimized to avoid these artifacts by using slowly changing power-levels and gradual shifts in frequency. Each speaker simultaneously transmits a uniquely identifiably signature that can be geolocated on a map. By then applying a time-difference-of-arrival (TDOA) pseudo-ranging technique the mobile devices can localize themselves without synchronizing with the broadcasting infrastructure. This design is not only scalable with respect to the number of transmitters and tracked devices, but also improves user privacy since the mobile device can compute its position locally.

References

[1]
Patrick Lazik and Anthony Rowe. Indoor pseudo-ranging of mobile devices using ultrasonic chirps. In Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, SenSys '12, New York, NY, USA, 2012.
[2]
B. W. Parkinson and S. W. Gilbert. Navstar: Global positioning system;ten years later. Proceedings of the IEEE, 71(10): 1177--1186, oct. 1983.
[3]
V. Filonenko, C. Cullen, and J. Carswell. Investigating ultrasonic positioning on mobile phones. In Indoor Positioning and Indoor Navigation (IPIN), 2010 International Conference on, pages 1--8, sept. 2010.
[4]
Rowe A., Mangharam R., Rajkumar R. FireFly: A Time Synchronized Real-Time Sensor Networking Platform. Wireless Ad Hoc Networking: Personal-Area, Local-Area, and the Sensory-Area Networks, CRC Press Book Chapter, 2006.
[5]
H. Shen, S. Machineni, C. Gupta, and A. Papandreou-Suppappola. Time-varying multichirp rate modulation for multiple access systems. Signal Processing Letters, IEEE, 11(5): 497--500, may 2004.

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cover image ACM Conferences
SenSys '12: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
November 2012
404 pages
ISBN:9781450311694
DOI:10.1145/2426656

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2012

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  • (2022)Human-Centred Acoustic Detection for Smartphone Application in HealthcareDiverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems10.4018/978-1-6684-5092-5.ch006(125-150)Online publication date: 11-Nov-2022
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  • (2020)UltraComm: High-Speed and Inaudible Acoustic CommunicationQuality, Reliability, Security and Robustness in Heterogeneous Systems10.1007/978-3-030-38819-5_12(184-204)Online publication date: 14-Jan-2020
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