FFT-based 220 GHz Sparse Imaging for Target Detection

Shaoqing Hu; Amir Masoud Molaei; Okan Yurduseven

doi:10.1109/iWAT54881.2022.9811069

FFT-based 220 GHz Sparse Imaging for Target Detection

Shaoqing Hu, Amir Masoud Molaei, Okan Yurduseven

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

3 Citations (Scopus)

Abstract

This paper introduces two fast imaging algorithms based on Fast Fourier Transform (FFT) for a 220 GHz synthetic aperture imaging. The presented application is a target detection scenario with a multi-static multiple-input and multiple-output (MIMO) array-FFT/IFFT approach and a FFT matched filtering. Zero padding is proposed to improve the image quality when large sampling space is used. In addition, a multi-pass synthetic aperture imaging is proposed to achieve a higher image quality without increasing the system cost. An imaging resolution of 6 mm at 1.4 m is achieved together a reconstruction time of as small as 0.2 s to image a scene of 200 mm × 200 mm. The proposed sparse imaging with low rank matrix recovery (LRMR) technique has significant potential to reduce the system cost without comprising on high image quality.

Original language	English
Title of host publication	2022 International Workshop on Antenna Technology, iWAT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	76-78
Number of pages	3
ISBN (Electronic)	9781665494496
DOIs	https://doi.org/10.1109/iWAT54881.2022.9811069
Publication status	Published - 04 Jul 2022
Event	International Workshop on Antenna Technology 2022 - Trinity College Dublin, Dublin, Ireland Duration: 16 May 2022 → 18 May 2022 http://iwat2022.org/

Publication series

Name	International Workshop on Antenna Technology: Proceedings
Publisher	IEEE

Conference

Conference	International Workshop on Antenna Technology 2022
Abbreviated title	iWAT 2022
Country/Territory	Ireland
City	Dublin
Period	16/05/2022 → 18/05/2022
Internet address	http://iwat2022.org/

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Fast Fourier Transform (FFT)
low rank matrix recovery (LRMR)
MIMO
synthetic aperture imaging
THz

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1109/iWAT54881.2022.9811069Licence: Unspecified

Cite this

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title = "FFT-based 220 GHz Sparse Imaging for Target Detection",

abstract = "This paper introduces two fast imaging algorithms based on Fast Fourier Transform (FFT) for a 220 GHz synthetic aperture imaging. The presented application is a target detection scenario with a multi-static multiple-input and multiple-output (MIMO) array-FFT/IFFT approach and a FFT matched filtering. Zero padding is proposed to improve the image quality when large sampling space is used. In addition, a multi-pass synthetic aperture imaging is proposed to achieve a higher image quality without increasing the system cost. An imaging resolution of 6 mm at 1.4 m is achieved together a reconstruction time of as small as 0.2 s to image a scene of 200 mm × 200 mm. The proposed sparse imaging with low rank matrix recovery (LRMR) technique has significant potential to reduce the system cost without comprising on high image quality. ",

keywords = "Fast Fourier Transform (FFT), low rank matrix recovery (LRMR), MIMO, synthetic aperture imaging, THz",

author = "Shaoqing Hu and Molaei, {Amir Masoud} and Okan Yurduseven",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; International Workshop on Antenna Technology 2022, iWAT 2022 ; Conference date: 16-05-2022 Through 18-05-2022",

year = "2022",

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doi = "10.1109/iWAT54881.2022.9811069",

language = "English",

series = "International Workshop on Antenna Technology: Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2022 International Workshop on Antenna Technology, iWAT 2022",

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Hu, S, Molaei, AM & Yurduseven, O 2022, FFT-based 220 GHz Sparse Imaging for Target Detection. in 2022 International Workshop on Antenna Technology, iWAT 2022. International Workshop on Antenna Technology: Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 76-78, International Workshop on Antenna Technology 2022, Dublin, Ireland, 16/05/2022. https://doi.org/10.1109/iWAT54881.2022.9811069

FFT-based 220 GHz Sparse Imaging for Target Detection. / Hu, Shaoqing; Molaei, Amir Masoud ; Yurduseven, Okan.
2022 International Workshop on Antenna Technology, iWAT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 76-78 (International Workshop on Antenna Technology: Proceedings).

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

TY - GEN

T1 - FFT-based 220 GHz Sparse Imaging for Target Detection

AU - Hu, Shaoqing

AU - Molaei, Amir Masoud

AU - Yurduseven, Okan

PY - 2022/7/4

Y1 - 2022/7/4

N2 - This paper introduces two fast imaging algorithms based on Fast Fourier Transform (FFT) for a 220 GHz synthetic aperture imaging. The presented application is a target detection scenario with a multi-static multiple-input and multiple-output (MIMO) array-FFT/IFFT approach and a FFT matched filtering. Zero padding is proposed to improve the image quality when large sampling space is used. In addition, a multi-pass synthetic aperture imaging is proposed to achieve a higher image quality without increasing the system cost. An imaging resolution of 6 mm at 1.4 m is achieved together a reconstruction time of as small as 0.2 s to image a scene of 200 mm × 200 mm. The proposed sparse imaging with low rank matrix recovery (LRMR) technique has significant potential to reduce the system cost without comprising on high image quality.

AB - This paper introduces two fast imaging algorithms based on Fast Fourier Transform (FFT) for a 220 GHz synthetic aperture imaging. The presented application is a target detection scenario with a multi-static multiple-input and multiple-output (MIMO) array-FFT/IFFT approach and a FFT matched filtering. Zero padding is proposed to improve the image quality when large sampling space is used. In addition, a multi-pass synthetic aperture imaging is proposed to achieve a higher image quality without increasing the system cost. An imaging resolution of 6 mm at 1.4 m is achieved together a reconstruction time of as small as 0.2 s to image a scene of 200 mm × 200 mm. The proposed sparse imaging with low rank matrix recovery (LRMR) technique has significant potential to reduce the system cost without comprising on high image quality.

KW - Fast Fourier Transform (FFT)

KW - low rank matrix recovery (LRMR)

KW - MIMO

KW - synthetic aperture imaging

KW - THz

U2 - 10.1109/iWAT54881.2022.9811069

DO - 10.1109/iWAT54881.2022.9811069

M3 - Conference contribution

AN - SCOPUS:85135010629

T3 - International Workshop on Antenna Technology: Proceedings

SP - 76

EP - 78

BT - 2022 International Workshop on Antenna Technology, iWAT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Workshop on Antenna Technology 2022

Y2 - 16 May 2022 through 18 May 2022

ER -

FFT-based 220 GHz Sparse Imaging for Target Detection

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this