Deep learning based antenna array fault detection

K Chen, W Wang, X Chen, H Yin - 2019 IEEE 89th Vehicular …, 2019 - ieeexplore.ieee.org
MmWave communication is a promising communication technique of future 5G system.
Large bandwidth and high directional gain are the two advantages of mmWave …

Failure diagnosis of microstrip antenna array based on convolutional neural network

Q Chen, H Ma, EP Li - 2019 IEEE Asia-Pacific Microwave …, 2019 - ieeexplore.ieee.org
Antenna failure diagnosis is one of the essential problems in the area of radar and wireless
communications. In this paper, a new method based on convolutional neural network (CNN) …

Antenna Array Diagnosis Using Deep Learning Approach

HM Yao, M Li, L Jiang, KL Yeung… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this communication, we propose to use a deep learning (DL) approach to detect unit
failure in array antennas. Due to natural machine life cycle and/or unexpected accidents …

Application of machine learning for antenna array failure analysis

L De Lange, DJ Ludick - 2018 International Workshop on …, 2018 - ieeexplore.ieee.org
In this work, a machine learning technique is used to detect and locate failed elements in an
antenna array. The approach allows for detection and location of up to two simultaneous …

Blind diagnosis for millimeter-wave large-scale antenna systems

R Sun, W Wang, L Chen, G Wei… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication systems rely on large-scale antenna arrays to
combat large path-loss at mmWave band. Due to hardware characteristics and deployment …

SDR implementation of an end-to-end mmWave testbed based on phased antenna array

K Wang, X Yang, X Li, CK Went… - 2019 11th International …, 2019 - ieeexplore.ieee.org
The millimeter wave (mmWave) has become one of the key technologies in the fifth
generation (5G) cellular network due to its potential in providing huge undeveloped …

Deep-learning based adaptive beam management technique for mobile high-speed 5G mmWave networks

W Na, B Bae, S Cho, N Kim - 2019 IEEE 9th International …, 2019 - ieeexplore.ieee.org
5G core frequency band, mmWave, is about ten times wider than the existing commercial
frequency band, enabling various services to be created. However, due to the characteristics …

Remote diagnosis of fault element in active phased arrays using deep neural network

MH Nielsen, MH Jespersen… - 2019 27th …, 2019 - ieeexplore.ieee.org
It can be extremely mission-critical to identify the source of an error in satellite
communication systems and in this initial work an approach based on neural networks is …

BsNet: A deep learning-based beam selection method for mmWave communications

CH Lin, WC Kao, SQ Zhan… - 2019 IEEE 90th Vehicular …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) techniques have attracted much attention in recent years owing
to features such as substantial bandwidth for communication, and it has applications in radar …

Robust and efficient fault diagnosis of mm-wave active phased arrays using baseband signal

MH Nielsen, Y Zhang, C Xue, J Ren… - … on Antennas and …, 2022 - ieeexplore.ieee.org
One key communication block in 5G and 6G radios is the active phased array (APA). To
ensure reliable operation, efficient and timely fault diagnosis of APAs on-site is crucial. To …