Results 1 to 10 of about 281 (164)

Mirrored coprime array design using sum‐difference coarray optimisation

open access: yesIET Signal Processing, 2023
The sum‐difference coarray (SDCA) is the union of the sum coarray (SCA) and difference coarray (DCA), which has higher degrees‐of‐freedom (DOF) than that of the DCA, resulting in a better direction‐of‐arrival (DOA) estimation performance.
Minghui Dai   +3 more
doaj   +3 more sources

An enhanced expanding and shift sparse array based on the coprime array and nested array

open access: yesIET Radar, Sonar & Navigation
In recent years, sparse arrays based on the fourth‐order difference coarray (FODCA) have received increased research attention due to their small number of array elements and large consecutive virtual arrays.
Caihui Qin   +4 more
doaj   +3 more sources

DOA estimation based on sum–difference coarray with virtual array interpolation concept [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2021
The sum–difference coarray is the union of difference coarray and the sum coarray, which is capable to obtain a higher number of degrees of freedom (DOF) than the difference coarray.
Yarong Ding   +3 more
doaj   +3 more sources

Robust Low-Snapshot DOA Estimation for Sparse Arrays via a Hybrid Convolutional Graph Neural Network [PDF]

open access: yesSensors
We propose a hybrid Convolutional Graph Neural Network (C-GNN) for direction-of-arrival (DOA) estimation in sparse sensor arrays under low-snapshot conditions.
Hongliang Zhu   +4 more
doaj   +2 more sources

A Novel Sparse Array Configuration for Direction of Arrival Estimation with Increased Uniform Degrees of Freedom and Reduced Mutual Coupling [PDF]

open access: yesSensors
Sparse arrays are widely employed in array signal processing due to their obvious advantages in array element distribution and uniform degrees of freedom (uDOFs).
Shuang Wei, Gencun Zhu, Ying Su
doaj   +2 more sources

Evaluation of Sparse Array Geometries to Improve DOA Estimation With Mutual Coupling

open access: yesJournal of Engineering
Direction of arrival (DOA) estimation is a classic problem in array processing. It has wide applications in wireless communications, radar, acoustics, and smart antennas, to name just a few.
Oscar D. Ossa-Molina   +2 more
doaj   +2 more sources

A Two-Stage Transformer Framework for Sparse-Array Direction-of-Arrival Estimation via Correlation Vector Recovery [PDF]

open access: yesSensors
Accurate direction-of-arrival (DOA) estimation with high resolution is fundamental to many array sensing applications. In practice, however, sparse arrays with missing sensors and snapshot-limited observations often lead to incomplete and noisy second ...
Wenchao He   +4 more
doaj   +2 more sources

Two-Dimensional DOA Estimation for Three-Parallel Nested Subarrays via Sparse Representation [PDF]

open access: yesSensors, 2018
Nested arrays are considered attractive due to their hole-free performance, and have the ability to resolve O ( N 2 ) sources with O ( N ) physical sensors.
Weijian Si   +3 more
doaj   +2 more sources

Direction-of-Arrival Estimation in Coprime Array Using the ESPRIT-Based Method [PDF]

open access: yesSensors, 2019
Coprime arrays have shown potential advantages for direction-of-arrival (DOA) estimation by increasing the number of degrees-of-freedom in the difference coarray domain with fewer physical sensors.
Zhen Meng, Weidong Zhou
doaj   +2 more sources

Extended Transformed Nested Arrays for DOA Estimation of Non-Circular Sources

open access: yesIEEE Access, 2020
Recently, direction of arrival (DOA) estimation for non-circular (NC) sources has attracted great attention in array signal processing since NC signals can provide more information to generate the virtual difference and sum (diff-sum) coarray.
Zhe Peng   +3 more
doaj   +1 more source

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