Millimetro: mmWave retro-reflective tags for accurate, long range localization
Elahe Soltanaghaei,Akarsh Prabhakara,Artur Balanuta,Matthew Anderson,Jan M. Rabaey,Swarun Kumar,Anthony Rowe +6 more
- pp 69-82
TLDR
In this article, an ultra-low-power tag that can be localized at high accuracy over extended distances is proposed. But the authors focus on the free space path loss problem experienced by signals from the tag at mmWave bands by building upon Van Atta Arrays that retroreflect incident energy back towards the transmitting radar with minimal loss and low power consumption.Abstract:
This paper presents Millimetro, an ultra-low-power tag that can be localized at high accuracy over extended distances. We develop Millimetro in the context of autonomous driving to efficiently localize roadside infrastructure such as lane markers and road signs, even if obscured from view, where visual sensing fails. While RF-based localization offers a natural solution, current ultra-low-power localization systems struggle to operate accurately at extended ranges under strict latency requirements. Millimetro addresses this challenge by re-using existing automotive radars that operate at mmWave frequency where plentiful bandwidth is available to ensure high accuracy and low latency. We address the crucial free space path loss problem experienced by signals from the tag at mmWave bands by building upon Van Atta Arrays that retro-reflect incident energy back towards the transmitting radar with minimal loss and low power consumption. Our experimental results indoors and outdoors demonstrate a scalable system that operates at a desirable range (over 100 m), accuracy (centimeter-level), and ultra-low-power (read more
Citations
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Proceedings ArticleDOI
mmTag: a millimeter wave backscatter network
TL;DR: In this article, a novel mmWave backscatter network which enables low-power high-throughput wireless links for emerging applications is presented. But it is not suitable for wireless networks with high power consumption.
Proceedings ArticleDOI
RoS: passive smart surface for roadside-to-vehicle communication
TL;DR: In this paper, the authors investigate the feasibility of smartening transportation infrastructure for the purpose of conveying richer information to automotive radars and propose RoS, a passive PCB-fabricated smart surface which can be reconfigured to embed digital bits, and inform the radar much like visual road signs do to cameras.
Journal ArticleDOI
Measuring Micrometer-Level Vibrations With mmWave Radar
TL;DR: In this article , the authors proposed mmVib, a practical approach to measure micrometer-level vibrations with mmWave radar, which is based on multi-signal consolidation (MSC) for error reduction and multi-object measurement.
Proceedings ArticleDOI
OmniScatter: extreme sensitivity mmWave backscattering using commodity FMCW radar
TL;DR: OmniScatter is presented, a practical mmWave backscatter with an extreme sensitivity of -115 dBm, which interplays with the tag (FSK) signal to disentangle the ambient reflections from the tag signal in the frequency domain, essentially offering immunity to ambient reflections.
Proceedings ArticleDOI
mmEve: eavesdropping on smartphone's earpiece via COTS mmWave device
Chao Wang,Feng Lin,Tiantian Liu,Kaidi Zheng,Zhibo Wang,Zhengxiong Li,Ming-Chun Huang,Wenyao Xu,Kui Ren +8 more
TL;DR: An end-to-end eavesdropping system mmEve based on a commercial mmWave sensor to recover speech emitted from smartphone earpiece is developed, but it is found the recovered speech suffers from the sensor's self-noise and smartphone user's motion which limit attack distance to less than 2m, causing limited threats in real world.
References
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