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Octopus: a practical and versatile wideband MIMO sensing platform

Authors:

Jun LuoAuthors Info & Claims

MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking

Pages 601 - 614

https://doi.org/10.1145/3447993.3483267

Published: 25 October 2021 Publication History

Abstract

Radio frequency (RF) technologies have achieved a great success in data communication. In recent years, pervasive RF signals are further exploited for sensing; RF sensing has since attracted attentions from both academia and industry. Existing developments mainly employ commodity Wi-Fi hardware or rely on sophisticated SDR platforms. While promising in many aspects, there still remains a gap between lab prototypes and real-life deployments. On one hand, due to its narrow bandwidth and communication-oriented design, Wi-Fi sensing offers a coarse sensing granularity and its performance is very unstable in harsh real-world environments. On the other hand, SDR-based designs may hardly be adopted in practice due to its large size and high cost. To this end, we propose, design, and implement Octopus, a compact and flexible wideband MIMO sensing platform, built using commercial-grade low-power impulse radio. Octopus provides a standalone and fully programmable RF sensing solution; it allows for quick algorithm design and application development, and it specifically leverages the wideband radio to achieve a competent and robust performance in practice. We evaluate the performance of Octopus via micro-benchmarking, and further demonstrate its applicability using representative RF sensing applications, including passive localization, vibration sensing, and human/object imaging.

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Cited By

Zhang CZhang YZhou JYuan DKostakos VKay JHoang T(2024)VAWSS: Variational Autoencoder-Enhanced Wireless Sensing Simulator For WiFi Channel State InformationCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677595(106-110)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3677595
Weng YWu GZheng TYang YLuo JShu YLiu JTan RHe YChen J(2024)Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity RecognitionProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699349(436-449)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699349
Li XWang HChen ZJiang ZLuo JOkoshi TKo JLiKamWa R(2024)UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity SensingProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661889(42-55)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661889
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Index Terms

Octopus: a practical and versatile wideband MIMO sensing platform
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor devices and platforms
    2. Signal processing systems
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image ACM Conferences

MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking

October 2021

887 pages

ISBN:9781450383424

DOI:10.1145/3447993

Copyright © 2021 ACM.

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Published: 25 October 2021

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ACM MobiCom '21

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ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking

October 25 - 29, 2021

Louisiana, New Orleans

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Cited By

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https://dl.acm.org/doi/10.1145/3675094.3677595
Weng YWu GZheng TYang YLuo JShu YLiu JTan RHe YChen J(2024)Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity RecognitionProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699349(436-449)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699349
Li XWang HChen ZJiang ZLuo JOkoshi TKo JLiKamWa R(2024)UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity SensingProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661889(42-55)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661889
Lin CWang ZXiong JLi FWu GGanesan DLane NShi W(2024)Fine-grained Textile Moisture Sensing with Commodity UWBProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690679(1074-1088)Online publication date: 4-Dec-2024
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