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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 languageEnglish
Title of host publicationProceedings of the SPIE Security + Defence Conference 2024, , Sensors and Communication Technologies in the 1 GHz to 10 THz Band
PublisherSPIE - The International Society for Optical Engineering
Volume13206
DOIs
Publication statusPublished - 15 Nov 2024
EventSPIE Security + Defence 2024 - Edinburgh, United Kingdom
Duration: 16 Sept 202419 Sept 2024
https://spie.org/conferences-and-exhibitions/sensors-and-imaging#_=_

Publication series

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

Conference

ConferenceSPIE Security + Defence 2024
Country/TerritoryUnited Kingdom
CityEdinburgh
Period16/09/202419/09/2024
Internet address

Publications and Copyright Policy

This work is licensed under Queen’s Research Publications and Copyright Policy.

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