Results 1 to 10 of about 1,089,345 (300)

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   +3 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   +3 more sources

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   +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

On the Error Metrics Used for Direction of Arrival Estimation. [PDF]

open access: yesSensors (Basel)
In this article, the error metrics used for evaluating the performance of direction of arrival (DoA) estimation are thoroughly investigated to recommend the most suitable one. This investigation highlights the lack of consensus in the literature regarding the selection and definition of these metrics. We show that this disparity is particularly serious
Hannan MA   +3 more
europepmc   +4 more sources

Two-Stage Nested Array Direction of Arrival Estimation for Mixed Signals [PDF]

open access: yesSensors, 2022
In this paper, a novel two-stage subspace-based direction of arrival (DOA) estimation algorithm with the nested array is proposed for mixed signals containing circular and non-circular ones.
Wanru Li, Ke Deng
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

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   +2 more sources

No‐search algorithm for direction of arrival estimation [PDF]

open access: yesRadio Science, 2009
Direction of arrival estimation (DOA) is an important problem in ionospheric research and electromagnetics as well as many other fields. When superresolution techniques are used, a computationally expensive search should be performed in general. In this paper, a no‐search algorithm is presented.
Tuncer, T. Engin, Ozgen, M. Tankut
openaire   +3 more sources

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