Results 151 to 160 of about 2,457,520 (174)

Autofocus of sparse microwave imaging radar based on phase recovery

2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013), 2013
Sparse microwave imaging radar is a newly developed concept of microwave imaging, which introduces the sparse signal processing theory to traditional microwave imaging. As a combination of sparse signal processing theory and microwave imaging, the sparse microwave imaging is attracting people's interest for its several potential advantages including ...
Wen Hong, Zhe Zhang, Yirong Wu
exaly   +2 more sources

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
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System design and first airborne experiment of sparse microwave imaging radar: initial results

Science China Information Sciences, 2015
In this paper, we mainly study the system design of sparse microwave imaging radar and report some of the preliminary results of airborne experiments performed with it. Sparse microwave imaging radar is a novel concept which introduces the sparse signal processing theory to microwave imaging replacing the conventional matched filtering processing ...
Chenglong Jiang, Wen Hong, Bingchen Zhang   +2 more
exaly   +3 more sources

NUFFT-based fast reconstruction for sparse microwave imaging

Journal of Electromagnetic Waves and Applications, 2012
Compressive 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, J.-P. Sun, S.-T. Lu, Y.-P. Wang, W. Hong   +4 more
openaire   +1 more source

A Microwave Coincidence Imaging Method for Complex Target Based on Sparse Representation

2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2020
Microwave coincidence imaging (MCI) has great potential in super-resolution imaging realms, which has achieved a superior performance for sparse targets. However, its performance for complex target will degrade severely due to the weak sparsity. In this paper, the sparse representation method is applied to MCI and a reconstruction-based imaging method ...
Kaicheng Cao, Yongqiang Cheng, Hongqiang Wang   +2 more
exaly   +2 more sources

Experimental results and analysis of sparse microwave imaging from spaceborne radar raw data

Science China Information Sciences, 2012
Sparse microwave imaging is a novel radar framework aiming to bring revolutions to the microwave imaging according to the theory of sparse signal processing. As compressive sensing (CS) is introduced to synthetic aperture radar (SAR) imaging in recent years, the current SAR sparse imaging methods have shown their advantages over the traditional matched
Chenglong Jiang, Wen Hong, Bingchen Zhang   +2 more
exaly   +2 more sources

Exploiting wavelet decomposition to enhance sparse recovery in microwave imaging

2017 11th European Conference on Antennas and Propagation (EUCAP), 2017
Over the last years, various new non-invasive methodologies have been proposed for medical imaging. Among them, microwave imaging (MWI) seems to be a promising technique for applications such as stroke detection and breast cancer imaging (BCI). This diagnostic modality is based on measurements of the scattered field outside an imaging domain, in which ...
Ambrosanio, Michele, Kosmas, Panagiotis, Pascazio, Vito   +2 more
openaire   +3 more sources

Reconstruction techniques for sparse multistatic linear array microwave imaging

SPIE Proceedings, 2014
Sequentially-switched linear arrays are an enabling technology for a number of near-field microwave imaging applications. Electronically sequencing along the array axis followed by mechanical scanning along an orthogonal axis allows dense sampling of a two-dimensional aperture in near real-time.
David M. Sheen, Thomas E. Hall
openaire   +1 more source

Implementation of GPU-based Iterative Shrinkage-thresholding Algorithm in sparse microwave imaging

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
In this paper, we present the implementation of Iterative Shrinkage-thresholding Algorithm (ISTA) based on Graphic processing unit (GPU) parallel computation for sparse microwave imaging. First we introduce the theory of sparse microwave imaging and the mathematical model of Lq-norm regularization.
Jian Fang, Yun Lin, Bingchen Zhang
exaly   +3 more sources

Microwave three-dimensional imaging under sparse sampling based on MURA code

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
This paper utilizes Modified Uniformly Redundant Arrays (MURA) code as the criterion to realize sparse sampling in aperture plane, for the purpose of reducing bearing data storage. A geometry of microwave three-dimensional (3D) imaging is modeled, and the combination of ωK algorithm and Median Filter (MF) is adopted to achieve 3D image in the condition
He Tian, Daojing Li, Xuan Hu
openaire   +2 more sources