Results 21 to 30 of about 50 (50)

Sparse microwave breast imaging with differently polarized arrays

2016 24th European Signal Processing Conference (EUSIPCO), 2016
We 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, Jelena Dinkic, Jasmin Music, Arye Nehorai   +3 more
openaire   +2 more sources

Sparse array imaging for microwave gauging by compressed sensing

IEEE Transactions on Aerospace and Electronic Systems, 2014
The 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
openaire   +1 more source

Microwave radiation imaging approach based on sparse representation

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Based 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, Lurong Ding, Long Wu, Jingye Yan, Ji Wu 0001, Lin Wu, Wentao Lv   +6 more
openaire   +1 more source

Three-Dimensional Sparse Microwave Imaging for Brain Stroke Monitoring

12th European Conference on Antennas and Propagation (EuCAP 2018), 2018
In 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, Scapaticci Rosa, Crocco Lorenco   +2 more
openaire   +2 more sources

Microwave synthetic aperture radar imaging using sparse measurement

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016
This 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, Yahong Rosa Zheng, Mohammad Tayeb Ghasr, Kristen M. Donnell, Reza Zoughi   +4 more
openaire   +1 more source

Application of sparse array and MIMO in near-range microwave imaging

SPIE Proceedings, 2011
Near 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, Yanping Wang, Weixian Tan, Wen Hong   +3 more
openaire   +2 more sources

Signal Processing for Microwave Array Imaging: TDC and Sparse Recovery

IEEE Transactions on Geoscience and Remote Sensing, 2012
Unlike 1-D and 2-D microwave images, 3-D microwave image behaves typical sparsity. Consequently, sparse recovery technique can be used for 3-D microwave signal processing. Three popular signal processing techniques, the time-domain correlation method (TDC), pseudo-inverse method (PI), and compressed sensing method (CS), are discussed in this paper.
Jun Shi 0002, Xiaoling Zhang 0002, Gao Xiang, Jianyu Jianyu   +3 more
openaire   +1 more source

RF/Microwave Imaging of Sparse Targets in Urban Areas

IEEE Antennas and Wireless Propagation Letters, 2013
This 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
openaire   +3 more sources

Higher Order Sparse Microwave Imaging of PEC Scatterers

IEEE Transactions on Antennas and Propagation, 2016
In this paper, we present an innovative algorithm for sparse imaging of perfect electric conducting (PEC) targets. The algorithm is based on higher order sources or multipoles, rather than zero-order ones as in the standard sparse imaging. We demonstrate that, due to the directivity of higher order sources, the imaging capabilities of the algorithm are
Stevanovic Marija Nikolic, Crocco Lorenzo, Djordjevic Antonije R, Nehorai Arye   +3 more
openaire   +1 more source

Study on sparse microwave imaging

Proceedings of 2011 IEEE CIE International Conference on Radar, 2011
Sparse signal processing is introduced to microwave imaging technology, which forms a new theory, new system and new methodology in microwave imaging. Defined as sparse microwave imaging, it means that by the sparse domain representation of the observed object, the sparse microwave signal is acquired by sparse sampling in space or time domain.
openaire   +1 more source