Deep learning assisted sparse array ultrasound imaging. [PDF]
This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model.
Baiyan Qi +8 more
doaj +2 more sources
Sparse convolutional array for DOA estimation
Array signal processing plays an important role in many areas. Besides the Uniform Linear Array, there are many sparse array that have been proposed, for example, Minimum-redundancy array, Co-prime array, nested array, etc.
Zikai Wang +4 more
doaj +2 more sources
The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography
Photoacoustic imaging (PAI) has been developed, and photoacoustic computed tomography (PACT) is widely used for in vivo tissue and mouse imaging. Simulated annealing (SA) algorithm solves optimization problems, and compressed sensing (CS) recovers sparse
Zezheng Qin +4 more
doaj +2 more sources
Ultrasonic Phased Array Sparse-TFM Imaging Based on Sparse Array Optimization and New Edge-Directed Interpolation [PDF]
The ultrasonic phased array total focusing method (TFM) has the advantages of full-range dynamic focusing and high imaging resolution, but the problem of long imaging time limits its practically industrial applications.
Hongwei Hu +3 more
doaj +2 more sources
Research Progress and Prospect of Sparse Diversely Polarized Array Design
As compared with sparse scalar arrays and uniform diversely polarized arrays, sparse diversely polarized arrays show respectively advantages of possessing the ability of sensing the polarization state of source signals, avoiding polarization mismatch and
Yaxing YUE +4 more
doaj +1 more source
Sparse virtual array synthesis for MIMO radar imaging systems
Multiple‐input‐multiple‐output (MIMO) radar imaging systems require a high angular resolution to realize a high detectability level of the target directly related to the aperture size of the virtual array. Since in MIMO radars, the virtual array topology
Rabia Z. Syeda +2 more
doaj +1 more source
Sparse linear array with low mutual coupling ratio for DOA estimation
In order to reduce the mutual coupling ratio of sparse linear array, a new linear array structure with two sparse uniform linear arrays interleaved nested, is proposed in this paper.
Fan Wu +4 more
doaj +1 more source
Genetic Algorithm for Sparse Optimization of Mills Cross Array Used in Underwater Acoustic Imaging
Underwater acoustic imaging employs a special form of array which includes numerous transducer elements to achieve beamforming. Although a large-scale array can bring high imaging resolution, it will also cause difficulties in hardware complexity and ...
Duo Teng +4 more
doaj +1 more source
An L-Shaped Three-Level and Single Common Element Sparse Sensor Array for 2-D DOA Estimation
The degree of freedom (DOF) is an important performance metric for evaluating the design of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom, while ensuring that the array structure can be mathematically represented,
Bo Du +4 more
doaj +1 more source
DOA Estimation in Partially Correlated Noise Using Low-Rank/Sparse Matrix Decomposition [PDF]
We consider the problem of direction-of-arrival (DOA) estimation in unknown partially correlated noise environments where the noise covariance matrix is sparse. A sparse noise covariance matrix is a common model for a sparse array of sensors consisted of
Babaie-Zadeh, Massoud +4 more
core +1 more source

