GPSMirror: Expanding Accurate GPS Positioning to Shadowed and Indoor Regions with Backscatter
April 15, 2023 ยท Declared Dead ยท ๐ ACM/IEEE International Conference on Mobile Computing and Networking
"No code URL or promise found in abstract"
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Authors
Huixin Dong, Yirong Xie, Xianan Zhang, Wei Wang, Xinyu Zhang, Jianhua He
arXiv ID
2304.07572
Category
cs.NI: Networking & Internet
Cross-listed
eess.SP
Citations
29
Venue
ACM/IEEE International Conference on Mobile Computing and Networking
Last Checked
3 months ago
Abstract
Despite the prevalence of GPS services, they still suffer from intermittent positioning with poor accuracy in partially shadowed regions like urban canyons, flyover shadows, and factories' indoor areas. Existing wisdom relies on hardware modifications of GPS receivers or power-hungry infrastructures requiring continuous plug-in power supply which is hard to provide in outdoor regions and some factories. This paper fills the gap with GPSMirror, the first GPS-strengthening system that works for unmodified smartphones with the assistance of newly-designed GPS backscatter tags. The key enabling techniques in GPSMirror include: (i) a careful hardware design with microwatt-level power consumption that pushes the limit of backscatter sensitivity to re-radiate extremely weak GPS signals with enough coverage approaching the regulation limit; and (ii) a novel GPS positioning algorithm achieving meter-level accuracy in shadowed regions as well as expanding locatable regions under inadequate satellites where conventional algorithms fail. We build a prototype of the GPSMirror tags and conduct comprehensive experiments to evaluate them. Our results show that a GPSMirror tag can provide coverage up to 27.7 m. GPSMirror achieves median positioning accuracy of 3.7 m indoors and 4.6 m in urban canyon environments, respectively.
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