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

15 November 2024 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

Author Affiliations +

Proceedings Volume 13203, Sensors and Communication Technologies in the 1 GHz to 10 THz Band; 132030M (2024) https://doi.org/10.1117/12.3033684
Event: Security + Defence, 2024, Edinburgh, United Kingdom

Conference Poster

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Amir Masoud Molaei, Shaoqing Hu, Rupesh Kumar, and Okan Yurduseven "Three-dimensional near-field microwave imaging with multiple-input multiple-output coded generalized reduced dimension Fourier algorithm", Proc. SPIE 13203, Sensors and Communication Technologies in the 1 GHz to 10 THz Band, 132030M (15 November 2024); https://doi.org/10.1117/12.3033684

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