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Exploring LoRa for Long-range Through-wall Sensing

delete2020-06-15
delete91
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OA
AI
张
张扶桑 (Fusang Zhang)
Z
Zhaoxin Chang
K
Kai Niu
J
Jie Xiong
B
Beihong Jin *
Q
Qin Lv
张
张大庆 (Daqing Zhang) *
DOI:10.1145/3397326delete
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摘要

摘要

En 中文
Wireless signals have been extensively utilized for contactless sensing in the past few years. Due to the intrinsic nature of employing the weak target-reflected signal for sensing, the sensing range is limited. For instance, WiFi and RFID can achieve 3-6 meter sensing range while acoustic-based sensing is limited to less than one meter. In this work, we identify exciting sensing opportunities with LoRa, which is the new long-range communication technology designed for IoT communication. We explore the sensing capability of LoRa, both theoretically and experimentally. We develop the sensing model to characterize the relationship between target movement and signal variation, and propose novel techniques to increase LoRa sensing range to over 25 meters for human respiration sensing. We further build a prototype system which is capable of sensing both coarse-grained and fine-grained human activities. Experimental results show that (1) human respiration can still be sensed when the target is 25 meters away from the LoRa devices, and 15 meters away with a wall in between; and (2) human walking (both displacement and direction) can be tracked accurately even when the target is 30 meters away from the LoRa transceiver pair.
Keyword:
Wireless sensing
Long range sensing
LoRa signal
Modeling
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期刊

P
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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4.5
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institute of software, cas
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446
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U
university of massachusetts system
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peking university
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chinese academy of sciences
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