Results 1 to 10 of about 18,894 (263)

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

IEEE 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, Ali Muqaibel, Mohammad Alhassoun, Saleh Alawsh   +3 more
doaj   +3 more sources

Gridless DOA Estimator for 1.5-Bit Sparse Massive MIMO Systems Based on Covariance Matrix Estimation [PDF]

Entropy
To reduce the hardware cost of massive multiple-input multiple-output (MIMO) systems, low-bit analog-to-digital converters (ADCs) and sparse arrays are widely used.
Yuan Peng, Xiongbo Zheng, Zhiyong Cheng
doaj   +2 more sources

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.
J -P Delmas
exaly   +3 more sources

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, Haiminen N, Smit B, Rautio J, Vitikainen M, Wiebe M, Martinez D, Chee C, Kunkel J, Sanchez C, Nelson MA, Pakula T, Saloheimo M, Penttilä M, Kivioja T.   +14 more
europepmc   +4 more sources

Generation and Analysis of Ultrasound Images Using Plane Wave and Sparse Arrays Techniques [PDF]

Sensors, 2018
Joaquim MIGUEL Maia, Eduardo Costa, Fabio Kurt Schneider   +2 more
exaly   +2 more sources

Research Progress and Prospect of Sparse Diversely Polarized Array Design

Leida 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, Tianyu LI, Chengwei ZHOU, Xin YUAN, Zhiguo SHI   +4 more
doaj   +1 more source

Spiderweb Array: A Sparse Spin-Qubit Array

Physical Review Applied, 2022
19 pages, 16 ...
Jelmer M. Boter, Juan P. Dehollain, Jeroen P.G. van Dijk, Yuanxing Xu, Toivo Hensgens, Richard Versluis, Henricus W.L. Naus, James S. Clarke, Menno Veldhorst, Fabio Sebastiano, Lieven M.K. Vandersypen   +10 more
openaire   +5 more sources

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

International 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, Weijia Cui, Yuxi Du, Fengtong Mei, Bin Ba   +4 more
doaj   +1 more source

Geometry of Random Sparse Arrays

2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022
Peer ...
Hücümcnoglu, Mehmet Can, Rajamäki, Robin, Pal, Piya   +3 more
openaire   +2 more sources

ULA Fitting for Sparse Array Design [PDF]

IEEE 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., Li, Yingsong, Shi, Wanlu   +3 more
openaire   +2 more sources