Design, Implementation, and Medical Applications of 2-D Ultrasound Sparse Arrays
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022 An ultrasound sparse array consists of a sparse distribution of elements over a 2-D aperture. Such an array is typically characterized by a limited number of elements, which in most cases is compatible with the channel number of the available scanners ...
Emmanuel Roux +2 more
exaly +2 more sources
Comparative Analysis of SVM and CNN for Sonar Signal Classification Using Sparse Arrays
IEEE AccessCoprime and nested sparse arrays are two widely researched sparse arrays. These arrays, requiring fewer sensors compared to full uniform linear arrays (ULAs), still have a high number of degrees of freedom.
Showrov Rahman, Kaushallya Adhikari
doaj +2 more sources
Random SBT Precoding for Angle Estimation of mmWave Massive MIMO Systems Using Sparse Arrays Spacing
IEEE Access, 2020 In this article, we consider the estimation of angle of arrival (AoA) and angle of departure (AoD) for mmWave MIMO channels. For mmWave systems, there is typically a large number of antennas but limited radio frequency (RF) chains.
Yuan-Pei Lin, Ting-Ming Yang
doaj +2 more sources
IEEE Transactions on Signal Processing, 2019 In array processing, sparse arrays are capable of resolving $\mathcal {O}(N^2)$ uncorrelated sources with $N$ sensors. Sparse arrays have this property because they possess uniform linear array (ULA) segments of size $\mathcal {O}(N^2)$ in the difference
Palghat Vaidyanathan, Chun-Lin Liu
exaly +2 more sources
Robustness of Difference Coarrays of Sparse Arrays to Sensor Failures—Part II: Array Geometries
IEEE Transactions on Signal Processing, 2019 In array processing, sparse arrays are capable of resolving $\mathcal {O}(N^2)$ uncorrelated sources with $N$ sensors. Sparse arrays have this property because they possess uniform linear array (ULA) segments of size $\mathcal {O}(N^2)$ in the difference
Palghat Vaidyanathan, Chun-Lin Liu
exaly +2 more sources
Can Sparse Arrays Outperform Collocated Arrays for Future Wireless Communications? [PDF]
2023 IEEE Globecom Workshops (GC Wkshps), 2023 Multiple-input multiple-output (MIMO) has become a key technology for contemporary wireless communication systems. For typical MIMO systems, antenna arrays are separated by half of the signal wavelength, which are termed collocated arrays. In this paper,
Huizhi Wang, Yong Zeng
semanticscholar +1 more source
Super-Resolution With Sparse Arrays: A Nonasymptotic Analysis of Spatiotemporal Trade-Offs [PDF]
IEEE Transactions on Signal Processing, 2023 Sparse arrays have emerged as a popular alternative to the conventional uniform linear array (ULA) due to the enhanced degrees of freedom (DOF) and superior resolution offered by them.
P. Sarangi +3 more
semanticscholar +1 more source
Research Progress and Prospect of Sparse Diversely Polarized Array Design
Leida xuebao, 2023 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
A Review of Sparse Sensor Arrays for Two-Dimensional Direction-of-Arrival Estimation
IEEE Access, 2021 Two-dimensional (2D) arrays are fundamental to localization applications. Specifically, sparse arrays can provide superior direction-of-arrival (DoA) estimation performance with limited number of sensors. There has been increased interest in the research
Ibrahim Aboumahmoud +3 more
doaj +1 more source
The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays
International Journal of Antennas and Propagation, 2021 When there is coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms for direction-of-arrival (DOA) estimation using difference coarray fail.
Haiyun Xu +4 more
doaj +1 more source