Results 21 to 30 of about 1,903,363 (255)
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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Bounds for sparse planar and volume arrays [PDF]
IEEE Transactions on Information Theory, 2001 Summary: This correspondence improves and extends bounds on the numbers of sensors, redundancies, and holes for sparse linear arrays to sparse planar and volume arrays. As an application, the efficiency of regular planar and volume arrays with redundancies, but no holes, is deduced.
Meurisse, Yann, Delmas, Jean-Pierre
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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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Design of sparse arrays via deep learning for enhanced DOA estimation
EURASIP Journal on Advances in Signal Processing, 2021 This paper introduces an enhanced deep learning-based (DL) antenna selection approach for optimum sparse linear array selection for direction-of-arrival (DOA) estimation applications.
Steven Wandale, K. Ichige
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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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Near-Field Multiuser Communications Based on Sparse Arrays [PDF]
IEEE Journal on Selected Topics in Signal ProcessingThis paper considers near-field multiuser communications based on sparse arrays (SAs). First, for the uniform SAs (USAs), we analyze the beam gains of channel steering vectors, which shows that increasing the antenna spacings can effectively improve the ...
Kang-Jian Chen +3 more
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Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays [PDF]
Asilomar Conference on Signals, Systems and ComputersRecent advancements in Deep Learning (DL) for Direction of Arrival (DOA) estimation have highlighted its superiority over traditional methods, offering faster inference, enhanced super-resolution, and robust performance in low Signal-to-Noise Ratio (SNR)
Ru-dan Zheng +5 more
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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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IEEE Access, 2021 Minimum redundancy array (MRA) has the maximum aperture with continuous difference co-array among various sparse arrays with same number of physical sensors, but it is hard to calculate the sensor position of MRA and realize array design by using MRA. To
Geng Wang +4 more
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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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