An easily-achieved time-domain beamformer for ultrafast ultrasound imaging based on compressive sensing

2015 ◽  
Author(s):  
Congzhi Wang ◽  
Xi Peng ◽  
Dong Liang ◽  
Yang Xiao ◽  
Weibao Qiu ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Ultrasound Imaging ◽  
Time Domain

Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach

2021 ◽  
Author(s):  
Zee Ang Sim ◽  
Esther Xin Fui Wong ◽  
Filbert H. Juwono ◽  
Lenin Gopal ◽  
Catur Apriono
Keyword(s):  
Compressive Sensing ◽  
Time Domain ◽  
Impulsive Noise ◽  
Noise Mitigation

scholarly journals Ultrawideband Impulse Radar Through-the-Wall Imaging with Compressive Sensing

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Wenji Zhang ◽  
Moeness G. Amin ◽  
Fauzia Ahmad ◽  
Ahmad Hoorfar ◽  
Graeme E. Smith
Keyword(s):  
Compressive Sensing ◽  
Time Domain ◽  
Measurement Data ◽  
Acquisition Time ◽  
Time Domain Signal ◽  
Spatially Extended ◽  
Data Volume ◽  
Order Of Magnitude ◽  
New Perspective ◽  
The Time Domain

Compressive Sensing (CS) provides a new perspective for addressing radar applications requiring large amount of measurements and long data acquisition time; both issues are inherent in through-the-wall radar imaging (TWRI). Most CS techniques applied to TWRI consider stepped-frequency radar platforms. In this paper, the impulse radar two-dimensional (2D) TWRI problem is cast within the framework of CS and solved by the sparse constraint optimization performed on time-domain samples. Instead of the direct sampling of the time domain signal at the Nyquist rate, the Random Modulation Preintegration architecture is employed for the CS projection measurement, which significantly reduces the amount of measurement data for TWRI. Numerical results for point-like and spatially extended targets show that high-quality reliable TWRI based on the CS imaging approach can be achieved with a number of data points with an order of magnitude less than that required by conventional beamforming using the entire data volume.

scholarly journals Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1674 ◽  
Author(s):  
Ashkan Ghanbarzadeh-Dagheyan ◽  
Chang Liu ◽  
Ali Molaei ◽  
Juan Heredia ◽  
Jose Martinez Lorenzo
Keyword(s):  
Compressive Sensing ◽  
Ultrasound Imaging

Priori information aided compressive sensing for time domain synchronous OFDM

2012 ◽  
Vol 48 (13) ◽  
pp. 800 ◽  
Author(s):  
Zhaocheng Wang ◽  
Linglong Dai ◽  
Jun Wang
Keyword(s):  
Compressive Sensing ◽  
Time Domain ◽  
Priori Information
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