Microwave Imaging under Oblique Illumination

Meng, Qingyang; Xu, Kuiwen; Shen, Fazhong; Zhang, Bin; Ye, Dexin; Huangfu, Jiangtao; Li, Changzhi; Ran, Lixin

doi:10.3390/s16071046

Cited by 6 publications

(5 citation statements)

References 55 publications

(105 reference statements)

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“…The reconstructed field on this surface must be the same as the measured field as given in Eq. (13). Here, N is the number of collocation points where the boundary condition satisfaction is required.…”

Section: Inverse Problem Solution Using the Masmentioning

confidence: 99%

See 1 more Smart Citation

Body Shape and Complex Permittivity Determination Using the Method of Auxiliary Sources

Tabatadze¹,

Karaçuha²,

Karaçuha³

2019

PIER M

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In this article, the body shape and complex permittivity determination employing inverse electromagnetic scattering problem solution for two-dimensional cases is considered. The method of auxiliary sources (MAS) is used as a mathematical apparatus. Several body shape cases are considered, and the efficiency of the approach is shown. The program package is created based on this method, and the numerical experiment results are presented.

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Section: Inverse Problem Solution Using the Masmentioning

confidence: 99%

“…In article [5], the author used the double Fourier transform for the inverse problem solution. Furthermore, there are some other analytical and numerical works related to this topic [6][7][8][9][10][11][12][13][14]. There are also other authors who used the Method of Auxiliary Sources to solve direct scattering problem [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Body Shape and Complex Permittivity Determination Using the Method of Auxiliary Sources

Tabatadze¹,

Karaçuha²,

Karaçuha³

2019

PIER M

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“…The setup is placed in an anechoic chamber so that the reflections due to ambient environment can be minimised. Previously, this setup was used to investigate conventional imaging algorithms for oblique incidence [44] and through-wall imaging [45]. In this work, it is used to evaluate the performance of the SCS-assisted imaging compared with the conventional TSOM-based imaging, which has been proved to be robust against noises [24].…”

Section: Architecturementioning

confidence: 99%

Towards real‐time through‐obstacle imaging based on compressed sensing for sparse objects

Zhou

Shen

Meng

et al. 2019

IET Microwaves, Antennas & Propagation

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Although significant progress has been made in microwave imaging, real‐time imaging, especially for objects behind walls or closed obstacles, remains a technical challenge. In this work, highly efficient imaging for complex‐structured objects surrounded by a closed obstacle was experimentally demonstrated. The imaging equations are derived based on a combination of the inverse‐scattering problem and the concept of compressed sensing. Making use of the spatial sparsity of objects and obstacles, the compressed imaging can be implemented using a time‐division multi‐antenna setup with reduced transmitting antennas. Owing to the spatial compressed sensing applied to the sparse imaging region and objects, the imaging time can be reduced by two orders of magnitude compared with the conventional twofold subspace‐based optimisation method with a comparable imaging quality. Taking advantage of the sparsity of the entire imaging area, objects with larger relative permittivity can also be reconstructed. The proposed method can be potentially used in applications such as security examination through boxes. It also provides a new clue for solving the practicability difficulty faced by existing microwave imaging systems.

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“…They are of special interest in non-destructive testing (NDT) applications [1], e.g., security screening systems for concealed weapon detection [2][3][4], or biomedical applications [5]. Different kinds of microwave imaging algorithms have been developed; some of them, like the backpropagation delay-and-sum (DAS) [6] or Fourier-based algorithms [7,8] are widely used thanks to their efficiency in terms of computational cost and simplicity with respect to those based on full-wave Equations (inverse fast multipole method [9], subspace-based optimization method [10], or gradient-based optimization [11], among others). In these algorithms, the measurements of the field scattered by the targets on the imaging domain are coherently processed to form the microwave image.…”

Section: Introductionmentioning

confidence: 99%

Improved Methods for Fourier-Based Microwave Imaging

Alvarez López,

Las-Heras Andrés

2023

Sensors

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Fourier-based imaging has been widely adopted for microwave imaging thanks to its efficiency in terms of computational complexity without compromising image resolution. Together with other backpropagation imaging algorithms like delay-and-sum (DAS), they are based on a far-field approach to the electromagnetic expression relating to fields and sources. To improve the accuracy of these techniques, this contribution presents a modified version of the well-known Fourier-based algorithm by taking into account the field radiated by the Tx/Rx antennas of the microwave imaging system. The impact on the imaged targets is discussed, providing a quantitative and qualitative analysis. The performance of the proposed method for subsampled microwave imaging scenarios is compared against other well-known aliasing mitigation methods.

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Microwave Imaging under Oblique Illumination

Cited by 6 publications

References 55 publications

Body Shape and Complex Permittivity Determination Using the Method of Auxiliary Sources

Body Shape and Complex Permittivity Determination Using the Method of Auxiliary Sources

Towards real‐time through‐obstacle imaging based on compressed sensing for sparse objects

Improved Methods for Fourier-Based Microwave Imaging

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