A comprehensive survey of machine learning applied to radar signal processing

P Lang, X Fu, M Martorella, J Dong, R Qin… - arXiv preprint arXiv …, 2020 - arxiv.org
Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …

Application of multi-angle millimeter-wave radar detection in human motion behavior and micro-action recognition

Z Zhang, W Meng, M Song, Y Liu, Y Zhao… - Measurement …, 2022 - iopscience.iop.org
Millimeter-wave radar is widely used in family safety, rehabilitation, and assisted living due
to its ability to operate in all weathers and all day. To address the problem whereby the radar …

HRRP target recognition based on kernel joint discriminant analysis

L Wenbo, Y Jiawen, Z Gong… - Journal of Systems …, 2019 - ieeexplore.ieee.org
With the improvement of radar resolution, the dimension of the high resolution range profile
(HRRP) has increased. In order to solve the small sample problem caused by the increase …

Multi-angle data cube action recognition based on millimeter wave radar

Y Zhao, Z Zhang, Z Zhang - 2020 Chinese Control And …, 2020 - ieeexplore.ieee.org
Aiming at the problem that the information contained in the two-dimensional feature data of
millimeter wave radar is difficult to accurately and effectively recognize human behavior and …

A comparison study of penalized likelihood via regularization and support vector-based control charts

E Maboudou-Tchao, CW Harrison… - Quality Technology & …, 2023 - Taylor & Francis
Recently statistical process control (SPC) started incorporating advanced tools based on
statistical learning for process monitoring due to the increasing availability of large and …

Radar HRRP target recognition based on composite deep networks

Y Kong, D Feng, J Zhang - 2022 International Applied …, 2022 - ieeexplore.ieee.org
Radar target recognition is to extract the acquired target echo information to achieve the
determination of target category and attribute. The feature extraction and classifier in radar …

Snapshot ensemble one-dimensional convolutional neural networks for ballistic target recognition

Q Xiang, X Wang, J Lai, Y Song, J He… - 2023 6th World …, 2023 - ieeexplore.ieee.org
Aiming at improving the performance of ballistic target HRRP recognition, a ballistic target
HRRP recognition method based on snapshot ensemble one-dimensional convolutional …

Human motion target recognition using convolutional neural network and global constraint block matching

W Liu, S Li - IEEE Access, 2020 - ieeexplore.ieee.org
The traditional human behavior recognition algorithm is easy to ignore the spatial constraint
problem of feature blocks, which leads to poor recognition effect and low correct rate …

Monitoring the mean with least-squares support vector data description

EM Maboudou-Tchao - Gestão & Produção, 2021 - SciELO Brasil
Multivariate control charts are essential tools in multivariate statistical process control
(MSPC).“Shewhart-type” charts are control charts using rational subgroupings which are …

[PDF][PDF] 基于点迹时空关系的雷达目标航迹识别

樊玉琦, 刘瑜岚, 许雄, 郭丹, 温鹏飞 - 电子测量与仪器学报, 2023 - jemi.cnjournals.com
雷达目标航迹的识别有助于指挥员判断对方作战意图和作战任务, 从而为战场决策提供协助作用
, 但目前少有文献研究目标航迹识别问题. 根据雷达检测到的目标物体的时间 …