Results 1 to 10 of about 112 (86)

Two-Dimensional Direction-of-Arrival Fast Estimation of Multiple Signals with Matrix Completion Theory in Coprime Planar Array [PDF]

open access: yesSensors, 2018
In estimating the two-dimensional (2D) direction-of-arrival (DOA) using a coprime planar array, the main issues are the high complexity of spectral peak search and the limited degree of freedom imposed by the number of sensors.
Haiyun Xu   +4 more
doaj   +7 more sources

Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm [PDF]

open access: yesSensors
This paper proposes a novel sparse array design and an efficient algorithm for two-dimensional direction-of-arrival (2D-DOA) estimation. By analyzing the hole distribution in coprime arrays and introducing supplementary elements, we design a ...
Yunhe Shi   +2 more
doaj   +6 more sources

Generalized and symmetric coprime planar array for direction of arrival estimation

open access: yesIET Radar, Sonar & Navigation, 2022
Degrees of freedom and mutual coupling are two important factors to determine the ability of direction of arrival (DOA) estimation. Although coprime planar array (CPPA) has less mutual coupling than hourglass array (HA) and ladder array (LA), its ...
Ming Jian Ren   +3 more
doaj   +3 more sources

Unfolded Coprime Planar Array for 2D Direction of Arrival Estimation: An Aperture-Augmented Perspective

open access: yesIEEE Access, 2018
Generally, a coprime planar array (CPA) incorporates two uniform planar subarrays with large inter-element spacing to achieve improved direction of arrival (DOA) estimation performance, where the two subarrays are usually interleaved in the same quadrant.
Wang Zheng   +3 more
doaj   +4 more sources

Two-Dimensional Direction of Arrival Estimation for Coprime Planar Arrays via Polynomial Root Finding Technique

open access: yesIEEE Access, 2018
In this paper, the problem of 2-D direction-of-arrival (2-D-DOA) estimation for coprime planar arrays is investigated, and a method based on the polynomial root finding technique with high accuracy and computational efficiency is proposed.
Dong Zhang   +5 more
doaj   +4 more sources

Blind signal separation for coprime planar arrays: An improved coupled trilinear decomposition method

open access: yesETRI Journal, 2023
In this study, the problem of blind signal separation for coprime planar arrays is investigated. For coprime planar arrays comprising two uniform rectangular subarrays, we link the signal separation to the tensor-based model called coupled canonical ...
Zhongyuan Que   +2 more
doaj   +2 more sources

Efficient Gridless 2-D Direction-of-Arrival Estimation for Coprime Array Based on Decoupled Atomic Norm Minimization

open access: yesIEEE Access, 2020
This paper presents an efficient gridless sparse reconstruction algorithm for the coprime planar array in two-dimensional (2-D) direction-of-arrival (DOA) estimation problem.
Aihong Lu, Yan Guo, Ning Li, Sixing Yang
doaj   +3 more sources

Direction-of-Arrival Estimation for Both Uncorrelated and Coherent Signals in Coprime Array

open access: yesIEEE Access, 2019
Direction-of-arrival (DOA) estimation in coprime array involves the problem that there is the coexistence of both uncorrelated signals and coherent signals in the multipath environment.
Haiyun Xu   +4 more
doaj   +3 more sources

Hole Locations and a Filling Method for Coprime Planar Arrays for DOA Estimation [PDF]

open access: yesIEEE Communications Letters, 2021
Coprime linear arrays (CLAs) have drawn lots ofattention. Efforts have been made to reveal the hole locations inthe difference coarrays of CLAs, based on which many methodshave been proposed to fill the holes, lengthening the consecutivedifference coarray part and increasing the effective degreesof freedom (DOFs). Compared with CLAs, two dimensional(2D)
Xiao Yang 0007   +2 more
openaire   +3 more sources

Foundry-enabled wafer-scale characterization and modeling of silicon photonic DWDM links. [PDF]

open access: yesNanophotonics
Abstract AI/ML compute clusters are driving unprecedented bandwidth demands at the package boundary, motivating co‐packaged integrated photonics closely co‐located with the compute unit. We present a scalable silicon‐photonics transceiver platform and a measurement‐driven design methodology that together enable dense, energy‐efficient DWDM links ...
Parsons R   +8 more
europepmc   +2 more sources

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