TY - GEN
T1 - LeakyTrack
T2 - 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
AU - Ghasempour, Yasaman
AU - Yeh, Chia Yi
AU - Shrestha, Rabi
AU - Amarasinghe, Yasith
AU - Mittleman, Daniel
AU - Knightly, Edward W.
N1 - Funding Information:
We presented LeakyTrack, a novel non-coherent and training-free system that enables nodal and environmental motion tracking with a single leaky-wave antenna. LeakyTrack correlates spatial information with spectral properties by creating unique spectral codes simultaneously in all directions. We modeled the impact of the RX’s geometric motion and a potential environmental object on the spectral profile of the received signals. We implemented the key components of LeakyTrack and demonstrated accurate estimation through extensive over-the-air experiments. 8 ACKNOWLEDGMENTS We appreciate the valuable comments and feedback from the anonymous reviewers and our shepherd. This research was supported by Intel, Cisco, and by NSF grants CNS-1955075, CNS-1923782 and DOD grant W911NF1920269.
Publisher Copyright:
© 2020 ACM.
PY - 2020/11/16
Y1 - 2020/11/16
N2 - Radio frequency signals have the potential to convey rich information about a node's motion and surroundings. Unfortunately, extracting such information is challenging, previously requiring accurate phase measurement, large antenna array structures, or extensive training. In this paper, we present LeakyTrack, a novel system that enables non-coherent and training-free motion sensing with a single antenna. The key idea is to create unique spectrally coded signals at different spatial directions so that geometric properties of the receiving node, as well as any potential objects in the environment, leave spectral footprints on the collected signal. To do so, we exploit a THz leaky-wave antenna and realize a color-coded scan in which signals with distinct spectral characteristics simultaneously emit across the angular domain. LeakyTrack infers nodal and environmental motion by analyzing the received spectral profile. We evaluate the performance of LeakyTrack via extensive over-the-air experiments.
AB - Radio frequency signals have the potential to convey rich information about a node's motion and surroundings. Unfortunately, extracting such information is challenging, previously requiring accurate phase measurement, large antenna array structures, or extensive training. In this paper, we present LeakyTrack, a novel system that enables non-coherent and training-free motion sensing with a single antenna. The key idea is to create unique spectrally coded signals at different spatial directions so that geometric properties of the receiving node, as well as any potential objects in the environment, leave spectral footprints on the collected signal. To do so, we exploit a THz leaky-wave antenna and realize a color-coded scan in which signals with distinct spectral characteristics simultaneously emit across the angular domain. LeakyTrack infers nodal and environmental motion by analyzing the received spectral profile. We evaluate the performance of LeakyTrack via extensive over-the-air experiments.
KW - leaky-wave antenna
KW - terahertz waves
KW - wireless sensing
UR - http://www.scopus.com/inward/record.url?scp=85097530499&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097530499&partnerID=8YFLogxK
U2 - 10.1145/3384419.3430717
DO - 10.1145/3384419.3430717
M3 - Conference contribution
AN - SCOPUS:85097530499
T3 - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
SP - 56
EP - 68
BT - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery, Inc
Y2 - 16 November 2020 through 19 November 2020
ER -