Unambiguous Detection of Multiple Objects Using Leaky-Wave Terahertz Radar Based on Stepwise Signal Processing

Yuki Ito; Yasuaki Monnai

doi:10.1109/IRMMW-THz46771.2020.9370429

Unambiguous Detection of Multiple Objects Using Leaky-Wave Terahertz Radar Based on Stepwise Signal Processing

Yuki Ito, Yasuaki Monnai

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Terahertz radar based on leaky-wave coherence tomography can detect the location of an object by finding the peak of the acquired frequency spectrum and its inverse Fourier transform, each corresponding to the angle and range of the object, respectively. While this approach is promising to implement high-resolution and compact radar, we find that locations of multiple objects cannot be determined uniquely. To avoid this ambiguity, here we propose stepwise signal processing. We experimentally demonstrate the unambiguous detection of two identical objects located at different points.

Original language	English
Title of host publication	2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020
Publisher	IEEE Computer Society
Pages	325
Number of pages	1
ISBN (Electronic)	9781728166209
DOIs	https://doi.org/10.1109/IRMMW-THz46771.2020.9370429
Publication status	Published - 2020 Nov 8
Event	45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020 - Virtual, Buffalo, United States Duration: 2020 Nov 8 → 2020 Nov 13

Publication series

Name	International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
Volume	2020-November
ISSN (Print)	2162-2027
ISSN (Electronic)	2162-2035

Conference

Conference	45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020
Country/Territory	United States
City	Virtual, Buffalo
Period	20/11/8 → 20/11/13

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/IRMMW-THz46771.2020.9370429

Cite this

Ito, Y., & Monnai, Y. (2020). Unambiguous Detection of Multiple Objects Using Leaky-Wave Terahertz Radar Based on Stepwise Signal Processing. In 2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020 (pp. 325). [9370429] (International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz; Vol. 2020-November). IEEE Computer Society. https://doi.org/10.1109/IRMMW-THz46771.2020.9370429

Unambiguous Detection of Multiple Objects Using Leaky-Wave Terahertz Radar Based on Stepwise Signal Processing. / Ito, Yuki; Monnai, Yasuaki.

2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020. IEEE Computer Society, 2020. p. 325 9370429 (International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz; Vol. 2020-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ito, Y & Monnai, Y 2020, Unambiguous Detection of Multiple Objects Using Leaky-Wave Terahertz Radar Based on Stepwise Signal Processing. in 2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020., 9370429, International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, vol. 2020-November, IEEE Computer Society, pp. 325, 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020, Virtual, Buffalo, United States, 20/11/8. https://doi.org/10.1109/IRMMW-THz46771.2020.9370429

Ito Y, Monnai Y. Unambiguous Detection of Multiple Objects Using Leaky-Wave Terahertz Radar Based on Stepwise Signal Processing. In 2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020. IEEE Computer Society. 2020. p. 325. 9370429. (International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz). doi: 10.1109/IRMMW-THz46771.2020.9370429

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AB - Terahertz radar based on leaky-wave coherence tomography can detect the location of an object by finding the peak of the acquired frequency spectrum and its inverse Fourier transform, each corresponding to the angle and range of the object, respectively. While this approach is promising to implement high-resolution and compact radar, we find that locations of multiple objects cannot be determined uniquely. To avoid this ambiguity, here we propose stepwise signal processing. We experimentally demonstrate the unambiguous detection of two identical objects located at different points.

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Unambiguous Detection of Multiple Objects Using Leaky-Wave Terahertz Radar Based on Stepwise Signal Processing

Abstract

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