TY - GEN
T1 - Hydra
T2 - 30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024
AU - Mehrotra, Nishant
AU - Pandey, Divyanshu
AU - Prabhakara, Akarsh
AU - Liu, Yawen
AU - Kumar, Swarun
AU - Sabharwal, Ashutosh
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/5/29
Y1 - 2024/5/29
N2 - In this paper, we ask, "Can millimeter-wave (mmWave) radars sense objects not directly illuminated by the radar - for instance, objects located outside the transmit beamwidth, behind occlusions, or placed fully behind the radar?"Traditionally, mmWave radars are limited to sense objects that are directly illuminated by the radar and scatter its signals directly back. In practice, however, radar signals scatter to other intermediate objects in the environment and undergo multiple bounces before being received back at the radar. In this paper, we present Hydra, a framework to explicitly model and exploit multi-bounce paths for sensing. Hydra enables standalone mmWave radars to sense beyond-field-of-view objects without prior knowledge of the environment. We extensively evaluate the localization performance of Hydra with an off-the-shelf mmWave radar in five different environments with everyday objects. Exploiting multi-bounce via Hydra provides 2×-10× improvement in the median beyond-field-of-view localization error over baselines.
AB - In this paper, we ask, "Can millimeter-wave (mmWave) radars sense objects not directly illuminated by the radar - for instance, objects located outside the transmit beamwidth, behind occlusions, or placed fully behind the radar?"Traditionally, mmWave radars are limited to sense objects that are directly illuminated by the radar and scatter its signals directly back. In practice, however, radar signals scatter to other intermediate objects in the environment and undergo multiple bounces before being received back at the radar. In this paper, we present Hydra, a framework to explicitly model and exploit multi-bounce paths for sensing. Hydra enables standalone mmWave radars to sense beyond-field-of-view objects without prior knowledge of the environment. We extensively evaluate the localization performance of Hydra with an off-the-shelf mmWave radar in five different environments with everyday objects. Exploiting multi-bounce via Hydra provides 2×-10× improvement in the median beyond-field-of-view localization error over baselines.
KW - millimeter-wave
KW - multi-bounce scattering
KW - radar
KW - sensing
UR - http://www.scopus.com/inward/record.url?scp=105002575505&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105002575505&partnerID=8YFLogxK
U2 - 10.1145/3636534.3690710
DO - 10.1145/3636534.3690710
M3 - Conference contribution
AN - SCOPUS:105002575505
T3 - ACM MobiCom 2024 - Proceedings of the 30th International Conference on Mobile Computing and Networking
SP - 1545
EP - 1559
BT - ACM MobiCom 2024 - Proceedings of the 30th International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery, Inc
Y2 - 18 November 2024 through 22 November 2024
ER -