Results 1 to 10 of about 21,138 (215)

Current Developments of Sparse Microwave Imaging

open access: yesLeida xuebao, 2014
The sparse microwave imaging combines the sparse signal processing theory with radar imaging to obtain new theory, new system, and new methodology of microwave imaging.
Wu Yi-rong   +5 more
doaj   +2 more sources

Smooth Polynomial Approach for Microwave Imaging in Sparse Processing Framework

open access: yesIEEE Access, 2022
We developed a novel qualitative imaging algorithm based on a polynomial approximation of the unknown contrast and sparse ( $l_{1}$ ) regularization.
Tushar Singh   +3 more
doaj   +2 more sources

FMCW sparse array imaging and restoration for microwave gauging [PDF]

open access: yesAdvances in Radio Science, 2012
The application of imaging radar to microwave level gauging represents a prospect of increasing the reliability of target detection. The aperture size of the used sensor determines the underlying azimuthal resolution.
S. Kolb, R. Stolle
doaj   +3 more sources

Microwave Sparse Imaging Applied to Stroke Monitoring

open access: yes2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2021
We study the application of differential microwave sparse imaging in brain diagnostics. In particular, we describe the estimation stroke change between the consecutive measurements using l1 regularization. The method is verified using a realistic anthropomorphic human phantom.
Marija Nikolic Stevanovic   +1 more
exaly   +3 more sources

RIPless Based Radar Waveform Analysis in Sparse Microwave Imaging

open access: yesLeida xuebao, 2013
The echo data can be modeled as the product of the Toeplitz matrix and reflectivity of the observed scene. The row of the Toeplitz matrix is the time-shift of the transmitted signal.
Zhao Yao   +3 more
doaj   +2 more sources

Study on the Sparse Sub-block Microwave Imaging Based on Lasso(In English)

open access: yesLeida xuebao, 2013
Sparse microwave imaging requires nonlinear algorithm that is expensive for large scene imaging. Therefore, the sub-block imaging method is studied, in which the measured data and the relative imaging region is divided into sub-blocks, and then sparse ...
Xiang Yin, Zhang Bing-chen, Hong Wen
doaj   +2 more sources

Sparse sampling‐based microwave 3D imaging using interferometry and frequency‐domain principal component analysis

open access: yesIET 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
doaj   +2 more sources

Experiment based on orbit satellite and application for sparse microwave imaging

open access: yesTongxin xuebao, 2017
The experiment aiming to verify the sparse microwave image methodology based on orbit SAR satellite was presented.During the experiment,the imaging parameters were changed in order to achieve the uniform de-sampling echo data.The image quality evaluation
Jing TIAN   +4 more
doaj   +3 more sources

Microwave Imaging of Non-Rigid Moving Target Using 2D Sparse MIMO Array

open access: yesIEEE Access, 2019
This paper develops a microwave/mmw (millimeter-wave) imaging method for moving objects of non-rigid body which can be used in the heavy traffic scenarios.
Zhanyu Zhu, Lei Kuang, Feng Xu
doaj   +2 more sources

Feature Understanding and Target Detection for Sparse Microwave Synthetic Aperture Radar Images

open access: yesLeida xuebao, 2016
Sparse microwave imaging using sparse priors of observed scenes in space, time, frequency, or polarization domain and echo data with sampling rate smaller than the traditional Nyquist rate as well as optimization algorithms for reconstructing the ...
Zhang Zenghui, Yu Wenxian
doaj   +2 more sources

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