Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm

Amir Masoud Molaei; Shaoqing Hu; Rupesh Kumar; Okan Yurduseven

doi:10.1117/12.3033684

Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm

Amir Masoud Molaei
, Shaoqing Hu
, Rupesh Kumar
, Okan Yurduseven

School of Electronics, Electrical Engineering and Computer Science

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

28 Downloads (Pure)

Abstract

This paper introduces a 3-D near-field microwave imaging approach, combining a special 2-D multiple-input multiple-output (MIMO) structure with orthogonal coding and Fourier domain processing. The proposed MIMO coded generalized reduced dimension Fourier algorithm effectively reduces data dimensionality while preserving valuable information, streamlining image reconstruction. Through mathematical derivations, we show how the proposed approach includes phase and amplitude compensators and reduces the computational complexity while mitigating propagation loss effects. Numerical simulations confirm the approach’s satisfactory performance in terms of information retrieval and processing speed.

Original language	English
Title of host publication	Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band
Publisher	SPIE - The International Society for Optical Engineering
Volume	13206
DOIs	https://doi.org/10.1117/12.3033684
Publication status	Published - 15 Nov 2024
Event	SPIE Security + Defence 2024 - Edinburgh, United Kingdom Duration: 16 Sept 2024 → 19 Sept 2024 https://spie.org/conferences-and-exhibitions/sensors-and-imaging#_=_

Publication series

Name	SPIE Conference Proceedings
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	SPIE Security + Defence 2024
Country/Territory	United Kingdom
City	Edinburgh
Period	16/09/2024 → 19/09/2024
Internet address	https://spie.org/conferences-and-exhibitions/sensors-and-imaging#_=_

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Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm
Copyright 2024 The Authors. This is an accepted manuscript distributed under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Accepted author manuscript, 483 KBLicence: CC BY

Cite this

Molaei, A. M., Hu, S., Kumar, R., & Yurduseven, O. (2024). Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm. In Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band (Vol. 13206). Article 132030M (SPIE Conference Proceedings). SPIE - The International Society for Optical Engineering. https://doi.org/10.1117/12.3033684

Molaei, Amir Masoud ; Hu, Shaoqing ; Kumar, Rupesh et al. / Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm. Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band. Vol. 13206 SPIE - The International Society for Optical Engineering, 2024. (SPIE Conference Proceedings).

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title = "Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm",

abstract = "This paper introduces a 3-D near-field microwave imaging approach, combining a special 2-D multiple-input multiple-output (MIMO) structure with orthogonal coding and Fourier domain processing. The proposed MIMO coded generalized reduced dimension Fourier algorithm effectively reduces data dimensionality while preserving valuable information, streamlining image reconstruction. Through mathematical derivations, we show how the proposed approach includes phase and amplitude compensators and reduces the computational complexity while mitigating propagation loss effects. Numerical simulations confirm the approach{\textquoteright}s satisfactory performance in terms of information retrieval and processing speed.",

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

year = "2024",

month = nov,

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booktitle = "Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band",

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Molaei, AM, Hu, S, Kumar, R & Yurduseven, O 2024, Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm. in Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band. vol. 13206, 132030M, SPIE Conference Proceedings, SPIE - The International Society for Optical Engineering, SPIE Security + Defence 2024, Edinburgh, United Kingdom, 16/09/2024. https://doi.org/10.1117/12.3033684

Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm. / Molaei, Amir Masoud; Hu, Shaoqing; Kumar, Rupesh et al.
Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band. Vol. 13206 SPIE - The International Society for Optical Engineering, 2024. 132030M (SPIE Conference Proceedings).

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

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T1 - Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm

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AU - Yurduseven, Okan

PY - 2024/11/15

Y1 - 2024/11/15

N2 - This paper introduces a 3-D near-field microwave imaging approach, combining a special 2-D multiple-input multiple-output (MIMO) structure with orthogonal coding and Fourier domain processing. The proposed MIMO coded generalized reduced dimension Fourier algorithm effectively reduces data dimensionality while preserving valuable information, streamlining image reconstruction. Through mathematical derivations, we show how the proposed approach includes phase and amplitude compensators and reduces the computational complexity while mitigating propagation loss effects. Numerical simulations confirm the approach’s satisfactory performance in terms of information retrieval and processing speed.

AB - This paper introduces a 3-D near-field microwave imaging approach, combining a special 2-D multiple-input multiple-output (MIMO) structure with orthogonal coding and Fourier domain processing. The proposed MIMO coded generalized reduced dimension Fourier algorithm effectively reduces data dimensionality while preserving valuable information, streamlining image reconstruction. Through mathematical derivations, we show how the proposed approach includes phase and amplitude compensators and reduces the computational complexity while mitigating propagation loss effects. Numerical simulations confirm the approach’s satisfactory performance in terms of information retrieval and processing speed.

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DO - 10.1117/12.3033684

M3 - Conference contribution

VL - 13206

T3 - SPIE Conference Proceedings

BT - Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band

PB - SPIE - The International Society for Optical Engineering

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Molaei AM, Hu S, Kumar R, Yurduseven O. Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm. In Proceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band. Vol. 13206. SPIE - The International Society for Optical Engineering. 2024. 132030M. (SPIE Conference Proceedings). doi: 10.1117/12.3033684

Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm

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