Results 11 to 20 of about 103,110 (286)
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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Sparse Convolutional Array for DOA Estimation
EURASIP Journal on Advances in Signal Processing, 2022 Abstract Array signal processing plays an important role in many areas. Besides the Uniform Linear Array, their are many sparse array that have been proposed, for example, Minimum-redundancy array, Co-prime array, nested array, etc. However, most of the array structures have certain disadvantages.
Zikai Wang +4 more
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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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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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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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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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Near-Unity Unselective Absorption in Sparse InP Nanowire Arrays [PDF]
, 2016 We experimentally demonstrate near-unity, unselective absorption, broadband, angle-insensitive, and polarization-independent absorption, in sparse InP nanowire arrays, embedded in flexible polymer sheets via geometric control of waveguide modes in two ...
Atwater, Harry A. +3 more
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Thinned coprime arrays for DOA estimation [PDF]
, 2017 Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer enhanced degrees-of-freedom (DOFs) which can be exploited in both beamforming and direction-of-arrival (DOA) estimation. One class of sparse arrays is the
grant +5 more
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