TY - GEN
T1 - UWB Radar Vibrometry
T2 - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
AU - Rong, Yu
AU - Srinivas, Sharanya
AU - Venkataramani, Adarsh
AU - Bliss, Daniel W.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - UWB radars can detect minute surface displacements therefore, have been exploited for vibrometry applications. In this paper, we demonstrate via experimentation that it is feasible to remotely sense sound and recover acoustic signals from vibrating sources using radars. Early research in this domain only demonstrated single sound source recovery using narrowband millimeter wave radars in direct line-of-sight scenarios. Instead, we illustrate using X band UWB radars that, multiple sources separated in ranges are observed and their signals isolated and recovered. Additionally, we leverage the see-through ability of microwave signals to extend this technology to surveillance of targets obstructed by barriers. We further drive this notion of blind surveillance by reconstructing audio from a passive object which is merely in proximity of the sound source using clever radar and audio processing techniques.
AB - UWB radars can detect minute surface displacements therefore, have been exploited for vibrometry applications. In this paper, we demonstrate via experimentation that it is feasible to remotely sense sound and recover acoustic signals from vibrating sources using radars. Early research in this domain only demonstrated single sound source recovery using narrowband millimeter wave radars in direct line-of-sight scenarios. Instead, we illustrate using X band UWB radars that, multiple sources separated in ranges are observed and their signals isolated and recovered. Additionally, we leverage the see-through ability of microwave signals to extend this technology to surveillance of targets obstructed by barriers. We further drive this notion of blind surveillance by reconstructing audio from a passive object which is merely in proximity of the sound source using clever radar and audio processing techniques.
KW - Non-line of Sight Sensing
KW - RF Microphone
KW - Sound Recovery
KW - UWB
UR - http://www.scopus.com/inward/record.url?scp=85083332948&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083332948&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF44664.2019.9048862
DO - 10.1109/IEEECONF44664.2019.9048862
M3 - Conference contribution
AN - SCOPUS:85083332948
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1066
EP - 1070
BT - Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
A2 - Matthews, Michael B.
PB - IEEE Computer Society
Y2 - 3 November 2019 through 6 November 2019
ER -