Talk2Radar: Talking to mmWave Radars via Smartphone Speaker
Kaiyan Cui, Leming Shen, Yuanqing Zheng, Fu Xiao, Jinsong Han
摘要
Integrated Sensing and Communication (ISAC) is gaining a tremendous amount of attention from both academia and industry. Recent work has brought communication capability to sensing-oriented mmWave radars, enabling more innovative applications. These solutions, however, either require hardware modifications or suffer from limited data rates. This paper presents Talk2Radar, which builds a faster communication channel between smartphone speakers and mmWave radars, without any hardware modification to either commodity smartphones or off-the-shelf radars. In Talk2Radar, a smartphone speaker sends messages by playing carefully designed sounds. A mmWave radar acting as a data receiver captures the emitted sounds by detecting the sound-induced smartphone vibrations, and then decodes the messages. Talk2Radar characterizes smartphone speakers for speaker-to-mmWave radar communication and addresses a series of technical challenges, including modulation and demodulation of extremely weak sound-induced vibrations, multi-speaker concurrent communication and human motion suppression. We implement and evaluate Talk2Radar in various practical settings. Experimental results show that Talk2Radar can achieve a data rate of up to 400bps with an average BER of less than 5%, outperforming the state-of-the-art by approximately 33×.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper1
问问它们各自怎么用它它引用的顶会 Paper26
- MU-ID: Multi-user Identification Through Gaits Using Millimeter Wave RadiosXin Yang, Jian Liu, Yingying Chen, Xiaonan Guo 等INFOCOM 2020 · 被引用 112 次
- Millimetro: mmWave retro-reflective tags for accurate, long range localizationElahe Soltanaghaei, Akarsh Prabhakara, Artur Balanuta, Matthew G. Anderson 等MobiCom 2021 · 被引用 111 次
- mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave SignalsPanneer Selvam Santhalingam, Al Amin Hosain, Ding Zhang, Parth H. Pathak 等UbiComp 2020 · 被引用 89 次
- mmTag: a millimeter wave backscatter networkMohammad Hossein Mazaheri, Alex Chen, Omid AbariSIGCOMM 2021 · 被引用 70 次
- PCube: scaling LoRa concurrent transmissions with reception diversitiesXianjin Xia, Ningning Hou, Yuanqing Zheng, Tao GuMobiCom 2021 · 被引用 63 次
相关 Paper
- We Can Hear You with mmWave Radar! An End-to-End Eavesdropping SystemDachao Han, Teng Huang, Han Ding, Cui Zhao 等UbiComp 2026 · 被引用 5 次
- Integrated Two-way Radar Backscatter Communication and Sensing with Low-power IoT TagsRyu Okubo, Luke Jacobs, Jinhua Wang, Steven M. Bowers 等SIGCOMM 2024 · 被引用 18 次
- AmbiEar: mmWave Based Voice Recognition in NLoS ScenariosJia Zhang, Yinian Zhou, Rui Xi, Shuai Li 等UbiComp 2022 · 被引用 28 次
- mSAC: Enhancing Localization with mmWave Sensing and Orthogonal SignalsMengning Li, Haocheng Zhu, Wenye Wang, Eylem EkiciINFOCOM 2025 · 被引用 4 次
- MILLIEAR: Millimeter-wave Acoustic Eavesdropping with Unconstrained VocabularyPengfei Hu, Yifan Ma, Panneer Selvam Santhalingam, Parth H. Pathak 等INFOCOM 2022 · 被引用 60 次
