Results 1 to 10 of about 103,012 (188)

A Review of Sparse Sensor Arrays for Two-Dimensional Direction-of-Arrival Estimation

open access: yesIEEE 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   +3 more sources

Detecting novel genes with sparse arrays. [PDF]

open access: yesGene, 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
europepmc   +4 more sources

Bounds for sparse planar and volume arrays [PDF]

open access: yesIEEE 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.
J -P Delmas
exaly   +3 more sources

Research Progress and Prospect of Sparse Diversely Polarized Array Design

open access: yesLeida 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

Spiderweb Array: A Sparse Spin-Qubit Array

open access: yesPhysical Review Applied, 2022
19 pages, 16 ...
Jelmer M. Boter   +10 more
openaire   +5 more sources

ULA Fitting for Sparse Array Design [PDF]

open access: yesIEEE Transactions on Signal Processing, 2021
Sparse array (SA) geometries, such as coprime and nested arrays, can be regarded as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant increase of the number of degrees of freedom (DOF) when the second-order information is utilized, i.e., they provide long virtual difference coarray (DCA).
Vorobyov, Sergiy A.   +3 more
openaire   +2 more sources

Geometry of Random Sparse Arrays

open access: yes2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022
Peer ...
Hücümcnoglu, Mehmet Can   +3 more
openaire   +2 more sources

The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays

open access: yesInternational 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

Low Discrepancy Sparse Phased Array Antennas

open access: yesSensors, 2021
Sparse arrays have grating lobes in the far field pattern due to the large spacing of elements residing in a rectangular or triangular grid. Random element spacing removes the grating lobes but produces large variations in element density across the ...
Travis Torres   +4 more
doaj   +1 more source

An L-Shaped Three-Level and Single Common Element Sparse Sensor Array for 2-D DOA Estimation

open access: yesSensors, 2023
The degree of freedom (DOF) is an important performance metric for evaluating the design of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom, while ensuring that the array structure can be mathematically represented,
Bo Du   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy