A Review on Machine Learning‐Based Radio Direction Finding

MY You, AN Lu, YX Ye, K Huang… - … Problems in Engineering, 2020 - Wiley Online Library
The research and applications of radio direction‐finding technology based on machine
learning are reviewed. Detailed application scenarios are summarized with focus on the …

Performance assessment of SVM-based classification techniques for the detection of artificial debondings within pavement structures from stepped-frequency A-scan …

SS Todkar, C Le Bastard, V Baltazart, A Ihamouten… - NDT & E …, 2019 - Elsevier
Owing to traffic and weather conditions, pavement structures may suffer from horizontal and
vertical cracks that shorten the overall lifetime of roadways. In this paper, we focus on the …

Underwater Coherent Source Direction-of-Arrival Estimation Method Based on PGR-SubspaceNet

T Guo, Y Xu, Y Bi, S Ding, Y Huang - Electronics, 2024 - mdpi.com
In the field of underwater acoustics, the signal-to-noise ratio (SNR) is generally low, and the
underwater environment is complex and variable, making target azimuth estimation highly …

Direction of arrival based on the multioutput least squares support vector regression model

K Huang, MY You, YX Ye, B Jiang… - … Problems in Engineering, 2020 - Wiley Online Library
The interferometer is a widely used direction‐finding system with high precision. When there
are comprehensive disturbances in the direction‐finding system, some scholars have …

A novel neural network based approach for direction of arrival estimation

S Çaylar - 2007 - open.metu.edu.tr
In this study, a neural network (NN) based algorithm is proposed for real time multiple
source tracking problem based on a previously reported work. The proposed algorithm …

DOA esitmation based on support vector machine—Large scale multiclass classification problem

D Jin-xiang, F Xi-an, M Yan - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Direction-of-arrival estimation is one of the most important issues in the signal processing
field. Support vector machines have gained more and more attention in the DOA estimation …

Blind source separation and bearing estimation using Fourier-and wavelet-based spectrally condensed data and artificial neural networks for indoor environments

EA Gharavol, OB Leong… - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
A new method for blind separation and bearing estimation of wavefronts in a smart antenna
scheme, which is based on the usage of artificial neural networks (ANN) is presented here …

The robustness research of beamforming algorithm against pointing error

C Lin, J Yameng - 2016 IEEE international conference on …, 2016 - ieeexplore.ieee.org
In this paper a robust beamforming method is proposed, which can effectively overcome the
influence of DOA (direction of arrival) mismatch. The proposed method exhibits the …

DOA esitmation based on support vector machine—Robustness analysis on array errors

D Jin-xiang, F Xi-an, M Yan - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Support vector machine (SVM) has gained good performance in classification. We treat the
DOA estimation problem as a multi-class classification problem, and solve it by SVM. Train …

[引用][C] 波束形成算法指向误差时的稳健性研究

崔琳, 焦亚萌 - 西安工程大学学报, 2014