Results 21 to 30 of about 18,855 (264)
Synthesis of Sparse Arrays Based On CIGA (Convex Improved Genetic Algorithm)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2020 In this paper, a novel hybrid algorithm on beam pattern synthesis of sparse arrays is proposed, which aims at minimizing the peak sidelobe level (PSLL). Sparse arrays can provide higher spatial resolution and relatively lower sidelobe than general arrays,
Jianxiong Li, Shuang Ren, Cuijuan Guo
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A Sparse-Array Design Method Using Q Uniform Linear Arrays for Direction-of-Arrival Estimation
Sensors, 2023 Nowadays, sparse arrays have been a hotspot for research in the direction of arrival (DOA). In order to achieve a big value for degrees of freedom (DOFs) using spatial smoothing methods, researchers try to use multiple uniform linear arrays (ULAs) to ...
Jin Zhang +3 more
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3D Coprime Arrays in Sparse Sensing [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Coprime arrays are a class of sensor arrays that play a crucial role in various signal processing tasks because of their desirable properties such as sparsity and increased degrees of freedom (DOF) of coarrays. In this contribution, a new class of three-dimensional (3D) arrays is constructed from pure cubic fields.
Li, C, Gan, L, Ling, C
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Compilation of sparse array programming models [PDF]
Proceedings of the ACM on Programming Languages, 2021 This paper shows how to compile sparse array programming languages. A sparse array programming language is an array programming language that supports element-wise application, reduction, and broadcasting of arbitrary functions over dense and sparse arrays with any fill value.
Rawn Henry +6 more
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IET Radar, Sonar & Navigation, 2023 Direction of arrival (DOA) estimation of mixed near‐field (NF) and far‐field (FF) signals is one of the key issues in the study of array signal processing. For more precise localisation performance, sparse arrays have drawn the attention of an increasing
Bo Du +4 more
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Detecting novel genes with sparse arrays. [PDF]
Gene, 2010 Species-specific genes play an important role in defining the phenotype of an organism. However, current gene prediction methods can only efficiently find genes that share features such as sequence similarity or general sequence characteristics with previously known genes.
Arvas M +14 more
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IEEE Access, 2019 Linear sparse arrays (coprime and nested arrays) have been studied extensively as a means of performing direction of arrival (DoA) estimation while bypassing Nyquist sampling theorem. However, rectangular sparse arrays have few studies, most of which are
Kaushallya Adhikari, Benjamin Drozdenko
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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
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Synthesis of sparse planar arrays
Electronics Letters, 1997 A synthesis method is proposed that is aimed at designing a planar, sparse, and aperiodic array to be used in a beamforming processor. This method minimises the number of elements able to generate a beam pattern that fulfils various a priori fixed constraints. The obtained results are better than those proposed in related literature.
TRUCCO, ANDREA, E. OMODEI, P. REPETTO
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Sparse Rectangular and Spiral Array Designs for 3D Medical Ultrasound Imaging
Sensors, 2019 In three-dimensional (3D) medical ultrasound imaging with two-dimensional (2D) arrays, sparse 2D arrays have been studied to reduce the number of active channels.
Hansol Yoon, Tai-Kyong Song
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