A Compressive Sensing-Based Approach for Millimeter-Wave Imaging Compatible with Fourier-Based Image Reconstruction Techniques

Molaei, Amir Masoud; Kumar, Rupesh; Hu, Shaoqing; Skouroliakou, Vasiliki; Fusco, Vincent; Yurduseven, Okan

doi:10.23919/irs54158.2022.9905068

Cited by 4 publications

(4 citation statements)

References 29 publications

(30 reference statements)

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“…In the literature, there are various techniques for image reconstruction [17][18][19]. It has been demonstrated that those techniques that offer a solution to the electromagnetic inverse scattering problem in the Fourier domain are much more computationally efficient than others [20,21].…”

Section: Introductionmentioning

confidence: 99%

Fourier-Based Near-Field Three-Dimensional Image Reconstruction in a Multistatic Imaging Structure Using Dynamic Metasurface Antennas

Molaei

Fromentèze

et al. 2022

IEEE Trans. Comput. Imaging

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Section: Introductionmentioning

confidence: 99%

Fourier-Based Near-Field Three-Dimensional Image Reconstruction in a Multistatic Imaging Structure Using Dynamic Metasurface Antennas

Molaei

Fromentèze

et al. 2022

IEEE Trans. Comput. Imaging

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“…Γ is designed in such a way that only one 1 is placed at random with a uniform distribution in each row and the rest of the entries are 0. Based on previous studies [3,29], for the dictionary matrix, the discrete Fourier transform (DFT) domain is considered. To perform CS reconstruction in (12), convex programming [30], or as an alternative, greedy algorithms [31] can be used.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Fourier-domain image reconstruction in near-field microwave imaging using a dynamic metasurface antenna: a sparse-sampling-based approach

Molaei¹,

Skouroliakou²,

Fusco³

et al. 2023

Radar Sensor Technology XXVII

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In recent years, dynamic metasurface antennas (DMAs) have been proposed as an efficient alternative platform for computational imaging, which can drastically simplify the hardware architecture. In this paper, we first mathematically describe the existing solution to be able to convert raw measurements obtained by a DMA in the frequency-space domain into raw data on Fourier bases. Next, an optimization problem based on compressive sensing theory is defined, through which only a limited share of the total frequency/spatial data will be needed. The converted/retrieved data are used to reconstruct the image in the Fourier domain. The performance of the corresponding image reconstruction techniques (with/without Stolt interpolation operation) is evaluated in terms of the quality of the reconstructed image (both visually and quantitatively) and computational time with computer simulations.

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“…The most basic way to create a two-dimensional (2D) active radar aperture is to use a transmitter-receiver (Tx-Rx) antenna pair in monostatic mode and capture the scene information through a mechanical raster scan [7,8]. However, despite its simplicity, such a mechanism is not efficient in terms of the data acquisition rate.…”

Section: Introductionmentioning

confidence: 99%

Fast image reconstruction for near-field terahertz imaging with multistatic non-uniform sparse arrays

Molaei¹,

Hu²,

Skouroliakou³

et al. 2023

Radar Sensor Technology XXVII

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In this paper, first, the structure of a linear sparse periodic array for two-dimensional scanning is described. Then, based on its characteristics, an algorithm is presented for fast image reconstruction of the scene in a near-field (NF) multistatic terahertz imaging scenario. Although the basis of this algorithm is developed in the Fourier domain, it is compatible with the non-uniform structure of the array and also takes into account the phase deviations caused by multistatic imaging in NF. The performance of the proposed approach is evaluated with numerical data obtained from electromagnetic simulations in FEKO as well as experimental data. The results are discussed in terms of computational time on the central processing unit and graphics processing unit as well as the quality of the reconstructed image.

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A Compressive Sensing-Based Approach for Millimeter-Wave Imaging Compatible with Fourier-Based Image Reconstruction Techniques

Abstract: A compressive sensingbased approach for millimeter-wave imaging compatible with Fourier-based image reconstruction techniques. In Proceedings of the 23rd International Radar Symposium, IRS 2022 (pp. 87-91). (International Radar Symposium Proceedings).

Cited by 4 publications

References 29 publications

Fourier-Based Near-Field Three-Dimensional Image Reconstruction in a Multistatic Imaging Structure Using Dynamic Metasurface Antennas

Fourier-Based Near-Field Three-Dimensional Image Reconstruction in a Multistatic Imaging Structure Using Dynamic Metasurface Antennas

Fourier-domain image reconstruction in near-field microwave imaging using a dynamic metasurface antenna: a sparse-sampling-based approach

Fast image reconstruction for near-field terahertz imaging with multistatic non-uniform sparse arrays

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