TY - JOUR
T1 - See-through Detection and 3D Reconstruction Using Terahertz Leaky-Wave Radar Based on Sparse Signal Processing
AU - Murata, Koji
AU - Murano, Kosuke
AU - Watanabe, Issei
AU - Kasamatsu, Akifumi
AU - Tanaka, Toshiyuki
AU - Monnai, Yasuaki
N1 - Funding Information:
Funding information This work was supported by the Strategic Information and Communications R&D Promotion Programme (SCOPE) #165103002 from the Ministry of Internal Affairs and Communications.
Publisher Copyright:
© 2017, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - We experimentally demonstrate see-through detection and 3D reconstruction using terahertz leaky-wave radar based on sparse signal processing. The application of terahertz waves to radar has received increasing attention in recent years for its potential to high-resolution and see-through detection. Among others, the implementation using a leaky-wave antenna is promising for compact system integration with beam steering capability based on frequency sweep. However, the use of a leaky-wave antenna poses a challenge on signal processing. Since a leaky-wave antenna combines the entire signal captured by each part of the aperture into a single output, the conventional array signal processing assuming access to a respective antenna element is not applicable. In this paper, we apply an iterative recovery algorithm “CoSaMP” to signals acquired with terahertz leaky-wave radar for clutter mitigation and aperture synthesis. We firstly demonstrate see-through detection of target location even when the radar is covered with an opaque screen, and therefore, the radar signal is disturbed by clutter. Furthermore, leveraging the robustness of the algorithm against noise, we also demonstrate 3D reconstruction of distributed targets by synthesizing signals collected from different orientations. The proposed approach will contribute to the smart implementation of terahertz leaky-wave radar.
AB - We experimentally demonstrate see-through detection and 3D reconstruction using terahertz leaky-wave radar based on sparse signal processing. The application of terahertz waves to radar has received increasing attention in recent years for its potential to high-resolution and see-through detection. Among others, the implementation using a leaky-wave antenna is promising for compact system integration with beam steering capability based on frequency sweep. However, the use of a leaky-wave antenna poses a challenge on signal processing. Since a leaky-wave antenna combines the entire signal captured by each part of the aperture into a single output, the conventional array signal processing assuming access to a respective antenna element is not applicable. In this paper, we apply an iterative recovery algorithm “CoSaMP” to signals acquired with terahertz leaky-wave radar for clutter mitigation and aperture synthesis. We firstly demonstrate see-through detection of target location even when the radar is covered with an opaque screen, and therefore, the radar signal is disturbed by clutter. Furthermore, leveraging the robustness of the algorithm against noise, we also demonstrate 3D reconstruction of distributed targets by synthesizing signals collected from different orientations. The proposed approach will contribute to the smart implementation of terahertz leaky-wave radar.
KW - Leaky-wave antennas
KW - Radar
KW - Sparse signal processing
KW - Synthetic aperture
KW - Terahertz
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U2 - 10.1007/s10762-017-0457-z
DO - 10.1007/s10762-017-0457-z
M3 - Article
AN - SCOPUS:85036595339
VL - 39
SP - 210
EP - 221
JO - Journal of Infrared, Millimeter, and Terahertz Waves
JF - Journal of Infrared, Millimeter, and Terahertz Waves
SN - 1866-6892
IS - 2
ER -