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Machine–learning-enabled metasurface for direction of arrival estimation [PDF]

open access: yesNanophotonics, 2022
Metasurfaces, interacted with artificial intelligence, have now been motivating many contemporary research studies to revisit established fields, e.g., direction of arrival (DOA) estimation.
Huang Min   +6 more
doaj   +3 more sources

A comprehensive review of metasurface-assisted direction-of-arrival estimation [PDF]

open access: yesNanophotonics
Direction of arrival (DoA) estimation is a key research focus in array signal processing, and numerous progressive direction-finding algorithms have already been developed.
Huang Min   +6 more
doaj   +3 more sources

SPICE-ML Algorithm for Direction-of-Arrival Estimation [PDF]

open access: yesSensors, 2019
Sparse iterative covariance-based estimation, an iterative direction-of-arrival approach based on covariance fitting criterion, can simultaneously estimate the angle and power of incident signal.
Yu Zheng, Lutao Liu, Xudong Yang
doaj   +5 more sources

Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference [PDF]

open access: yesIEEE Transactions on Signal Processing, 2012
Direction of arrival (DOA) estimation is a classical problem in signal processing with many practical applications. Its research has recently been advanced owing to the development of methods based on sparse signal reconstruction.
Xie, Lihua, Yang, Zai, Zhang, Cishen
core   +2 more sources

Super-resolution diffractive neural network for all-optical direction of arrival estimation beyond diffraction limits. [PDF]

open access: yesLight Sci Appl
Wireless sensing of the wave propagation direction from radio sources lays the foundation for communication, radar, navigation, etc. However, the existing signal processing paradigm for the direction of arrival estimation requires the radio frequency ...
Gao S   +7 more
europepmc   +2 more sources

Direction-of-Arrival Estimation Based on Joint Sparsity [PDF]

open access: yesSensors, 2011
We present a DOA estimation algorithm, called Joint-Sparse DOA to address the problem of Direction-of-Arrival (DOA) estimation using sensor arrays. Firstly, DOA estimation is cast as the joint-sparse recovery problem.
Zhitao Huang, Yiyu Zhou, Junhua Wang
doaj   +3 more sources

Enhancing Direction-of-Arrival Estimation with Multi-Task Learning [PDF]

open access: yesSensors
There are numerous methods in the literature for Direction-of-Arrival (DOA) estimation, including both classical and machine learning-based approaches that jointly estimate the Number of Sources (NOS) and DOA.
Simone Bianco   +5 more
doaj   +2 more sources

Direction-of-Arrival Estimation Methods in Interferometric Echo Sounding [PDF]

open access: yesSensors, 2020
Nowadays, there are two leading sea sounding technologies: the multibeam echo sounder and the multiphase echo sounder (also known as phase-difference side scan sonar or bathymetric side scan sonar). Both solutions have their advantages and disadvantages,
Piotr Grall   +2 more
doaj   +2 more sources

Small Aperture Antenna Arrays for Direction of Arrival Estimation [PDF]

open access: yesSensors
In this paper, we establish criteria for the design of small aperture antenna arrays for Direction of Arrival (DOA) estimation. We define a small aperture antenna array as one consisting of a few elements with an average interelement spacing less than or
Krutant J. Mehta, Inder J. Gupta
doaj   +2 more sources

Naked eye direction of arrival estimation with a Fresnel lens [PDF]

open access: yesScientific Reports, 2022
Direction of arrival (DoA) estimation is of primary importance in a broad range of wireless applications, where electromagnetic waves play a role. While a vast majority of existing techniques is based on phase lag comparison in antenna arrays, intensity ...
Dmytro Vovchuk   +3 more
doaj   +2 more sources

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