Results 191 to 200 of about 21,138 (215)
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High-Resolution Microwave Photonic Sparse Imaging Radar
IEEE Transactions on Microwave Theory and TechniquesCong Ma, Xiangchuan Wang, Shilong Pan
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On the Use of Spherical Harmonics in Sparse Microwave Imaging
2020 14th European Conference on Antennas and Propagation (EuCAP), 2020In this paper, we introduce a novel microwave imaging method using spherical harmonics and the sparse processing. As the sources of the spherical harmonics, we use the multipoles of different order. Based on theoretical considerations and as shown by numerical examples this approach is capable of retrieving concave shapes, which is particularly ...
Vojnovic Nebojsa +2 more
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Sparse microwave breast imaging with differently polarized arrays
2016 24th European Signal Processing Conference (EUSIPCO), 2016We investigate the role of polarization in sparse differential microwave imaging for the breast-cancer localization. We consider two types of antenna arrays, placed around realistic inhomogeneous breast models. In the first case, the antennas are vertical with respect to the chest wall, whereas in the second case, the antennas are located in the ...
Marija Nikolic Stevanovic +3 more
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Sparse array imaging for microwave gauging by compressed sensing
IEEE Transactions on Aerospace and Electronic Systems, 2014The reliability of microwave level gauging can be improved by radar imaging techniques. An antenna array with a large aperture must be used, in order to achieve the desired resolution. At the same time, the number of array elements is limited to only a few, which leads to ambiguities due to spatial undersampling.
Stephan Kolb, Reinhard Stolle
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Microwave radiation imaging approach based on sparse representation
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Based on sparsity or compressibility of microwave radiation images, Compressive Sensing in this paper is adopted to achieve microwave radiation imaging in order to reduce the complexity and hardware cost of the imaging system and get the image of high spatial resolution.
Xiaocheng Yang +6 more
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Three-Dimensional Sparse Microwave Imaging for Brain Stroke Monitoring
12th European Conference on Antennas and Propagation (EuCAP 2018), 2018In this paper, we consider the three-dimensional (3D) differential microwave imaging for brain stroke monitoring. Assuming that stroke causes small changes in the electromagnetic parameters of the head, we apply the Distorted Born approximation to linearize the scattering equation.
Stevanovic Marija Nikolic +2 more
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Microwave synthetic aperture radar imaging using sparse measurement
2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016This paper evaluates Compressed Sensing (CS) techniques for image recovery from sparse measurement of wideband microwave synthetic aperture radar. A specimen under test (SUT) consists of a tray of small rocks of different densities and with/without one piece that is wrapped in aluminum foil.
Xiahan Yang +4 more
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Application of sparse array and MIMO in near-range microwave imaging
SPIE Proceedings, 2011Near range microwave imaging systems have broad application prospects in the field of concealed weapon detection, biomedical imaging, nondestructive testing, etc. In this paper, the techniques of MIMO and sparse line array are applied to near range microwave imaging, which can greatly reduce the complexity of imaging systems.
Yaolong Qi +3 more
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RF/Microwave Imaging of Sparse Targets in Urban Areas
IEEE Antennas and Wireless Propagation Letters, 2013This letter deals with the localization of sparse targets in urban areas. The problem is tackled in the framework of 2-D linear inverse scattering accounting for the complexity of the scenario, and a sparse optimization scheme is exploited as an effective technique capable of providing high-resolution images.
Gennarelli G, Catapano I, Soldovieri F
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NUFFT-based fast reconstruction for sparse microwave imaging
Journal of Electromagnetic Waves and Applications, 2012Compressive sensing (CS) theory has been applied to sparse microwave imaging in many ways that provide better performance and significantly reduce the sampling rate. However, the computational complexity of reconstruction puts strict constraint on some practical applications with large-scale problems in radar imaging.
J.-H. Tian +4 more
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