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Machine–learning-enabled metasurface for direction of arrival estimation [PDF]
Nanophotonics, 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
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Direction-of-Arrival Estimation Based on Joint Sparsity [PDF]
Sensors, 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
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DIRECTION OF ARRIVAL USING PCA NEURALNETWORKS
Journal of EngineeringThis paper adapted the neural network for the estimating of the direction of arrival (DOA). It uses an unsupervised adaptive neural network with APEX algorithm to extract the principal components that in turn, are used by Capon method to estimate the ...
V. A. Mahomud +3 more
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Direction of arrival estimation using nonsingular spherical ESPRIT [PDF]
Journal of the Acoustical Society of America, 2018 The eigenbeam-ESPRIT (EB-ESPRIT) is a parametric method that estimates the direction of arrival of source signals using a recurrence relation of spherical harmonics. In EB-ESPRIT, the sound-source elevation angle is estimated from an arctangent function, which diverges near the equator in the spherical coordinate system and inevitably induces an ill ...
Byeongho Jo, Jung-Woo Choi
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SPICE-ML Algorithm for Direction-of-Arrival Estimation [PDF]
Sensors, 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
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Linearized Direction of Arrival
2022 25th International Conference on Information Fusion (FUSION), 2022 Linearized Direction of Arrival (LinDoA) is a method for sound source localization that is designed for use with wearable microphone arrays. The method uses a Taylor series expansion of the sound source signal in the time domain to beamform and estimate the direction of arrival.
Veibäck, Clas +3 more
openaire +2 more sources
IEEE Access, 2021 During the last decade, the concept of smart cities is gaining popularity, and many cities all around the globe are adopting it. Lately, the Smart Pedestrian Crossing (SPC) idea has become an important part of the smart city concept.
Noori Bnilam +4 more
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High Resolution Direction-of-Arrival Estimation Using Genetic Algorithm [PDF]
Engineering and Technology Journal, 2009 This paper presents an application of a performance analysis of a genetic algorithm GA developed for extraction of the directions of arrival DOA of several signals impinging on uniform linear arrays.
Eyad I. Abbas, Ali Abdul-Elah Noori
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Improvement of DOA Estimation based on Lanczos Algorithm [PDF]
Engineering and Technology Journal, 2014 In this paper, the problem of estimating the Direction Of Arrival (DOA) is presented. DOA based on Eigen Vector Decomposition (EVD) shows that the computational complexities are costly and high so that eigen structure algorithms suffer for limited ...
Sinan Majid Abdul Satar +1 more
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Direction-of-Arrival Estimation Methods in Interferometric Echo Sounding [PDF]
Sensors, 2020 Piotr Grall +2 more
exaly +2 more sources