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Nonlinear Projected Sparse Optimization Approach Based on Adam Algorithm for Microwave Imaging [PDF]
2020 Advances in Science and Engineering Technology International Conferences (ASET), 2020 A microwave imaging algorithm based on contrast-field equations is developed for sparse domains. The proposed algorithm is inspired by machine learning optimization schemes. More specifically it is based on Adam approach which is a first-order gradient optimization algorithm that has been studied intensively in optimizing artificial neural networks. To
Abdulla Desmal +2 more
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IEEE Access, 2019 A new method of creating microwave imagery by capturing the signals emitted by a small set of wireless WiFi transmitters is presented. The imaging technique leverages the fact that the signals emitted by separate WiFi transmitters are sufficiently ...
Stavros Vakalis +2 more
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Efficient 3D Image Reconstruction for Near-Field Microwave Imaging Using Dynamic Metasurface Antenna
IEEE Access, 2022 In this paper, rapid reconstruction of a three-dimensional (3D) image of a scene for near-field microwave imaging using a dynamic metasurface antenna (DMA) is addressed.
Amir Masoud Molaei +3 more
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Sparse Active Rectangular Array with Few Closely Spaced Elements
, 2018 Sparse sensor arrays offer a cost effective alternative to uniform arrays. By utilizing the co-array, a sparse array can match the performance of a filled array, despite having significantly fewer sensors.
Koivunen, Visa, Rajamäki, Robin
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Microwave Surveillance based on Ghost Imaging and Distributed Antennas
, 2015 In this letter, we proposed a ghost imaging (GI) and distributed antennas based microwave surveillance scheme. By analyzing its imaging resolution and sampling requirement, the potential of employing microwave GI to achieve high-quality surveillance ...
Lin, Zihuai, Wang, Xiaopeng
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3D microwave tomography with huber regularization applied to realistic numerical breast phantoms [PDF]
, 2016 Quantitative active microwave imaging for breast cancer screening and therapy monitoring applications requires adequate reconstruction algorithms, in particular with regard to the nonlinearity and ill-posedness of the inverse problem.
Bai, Funing +2 more
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IET Radar, Sonar & Navigation, 2017 Microwave radar 3D imaging with high resolution generally requires a great number of samples. The authors aim at accurate reconstruction of microwave radar images while significantly reducing the required number of samples.
He Tian, Daojing Li
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Experimental Synthetic Aperture Radar with Dynamic Metasurfaces
, 2017 We investigate the use of a dynamic metasurface as the transmitting antenna for a synthetic aperture radar (SAR) imaging system. The dynamic metasurface consists of a one-dimensional microstrip waveguide with complementary electric resonator (cELC ...
Boyarsky, Michael +6 more
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TARGET DETECTION FROM MICROWAVE IMAGING BASED ON RANDOM SPARSE ARRAY AND COMPRESSED SENSING [PDF]
Progress In Electromagnetics Research B, 2013 This paper proposes an imaging scheme using a random sparse array (RSA) structure for radar target detection using compressed sensing (CS). The array collects sparse measurements with less collection time and data storage. Two schemes of the RSA are considered, random SAR mode and random array mode.
Huang, Ling, Lu, Yi Long
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SAR Observation Error Estimation Based on Maximum Relative Projection Matching
International Journal of Antennas and Propagation, 2020 The existing sparse imaging observation error estimation methods are to usually estimate the error of each observation position by substituting the error parameters into the iterative reconstruction process, which has a huge calculation cost.
Y. Zhang +3 more
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