Human activity classification based on micro-Doppler signatures using a support vector machine
The feasibility of classifying different human activities based on micro-Doppler signatures is
investigated. Measured data of 12 human subjects performing seven different activities are …
investigated. Measured data of 12 human subjects performing seven different activities are …
Machine learning and deep learning techniques for colocated MIMO radars: A tutorial overview
A Davoli, G Guerzoni, GM Vitetta - IEEE Access, 2021 - ieeexplore.ieee.org
Radars are expected to become the main sensors in various civilian applications, ranging
from health-care monitoring to autonomous driving. Their success is mainly due to the …
from health-care monitoring to autonomous driving. Their success is mainly due to the …
[PDF][PDF] 地面车辆目标识别研究综述
李开明， 张群， 罗迎， 梁必帅， 杨小优 - 电子学报, 2014 - ejournal.org.cn
地面车辆目标是重要的民用和军事目标, 车辆目标的识别研究对于智能交通管制和国防安全具有
重要应用价值. 本文对地面车辆目标识别的国内外研究现状和应用背景进行综述 …
重要应用价值. 本文对地面车辆目标识别的国内外研究现状和应用背景进行综述 …
Micro-Doppler feature extraction based on time-frequency spectrogram for ground moving targets classification with low-resolution radar
L Du, L Li, B Wang, J Xiao - IEEE sensors journal, 2016 - ieeexplore.ieee.org
A novel feature extraction method based on micro-Doppler signature is proposed to
categorize ground moving targets into three kinds, ie, single walking person, two people …
categorize ground moving targets into three kinds, ie, single walking person, two people …
Open set recognition for automatic target classification with rejection
MD Scherreik, BD Rigling - IEEE Transactions on Aerospace …, 2016 - ieeexplore.ieee.org
Training sets for supervised classification tasks are usually limited in scope and only contain
examples of a few classes. In practice, classes that were not seen in training are given …
examples of a few classes. In practice, classes that were not seen in training are given …
Regularized 2-D complex-log spectral analysis and subspace reliability analysis of micro-Doppler signature for UAV detection
Unmanned aerial vehicle (UAV) has become an important radar target recently because of
its wide applications and potential security threats. Traditionally, visual features such as …
its wide applications and potential security threats. Traditionally, visual features such as …
Human activity classification based on dual micro-motion signatures using interferometric radar
Micro-Doppler signatures obtained from the Doppler radar are generally used for human
activity classification. However, if the angle between the direction of motion and radar …
activity classification. However, if the angle between the direction of motion and radar …
Evaluation of a micro-Doppler classification method on mm-wave data
S Björklund, T Johansson… - 2012 IEEE Radar …, 2012 - ieeexplore.ieee.org
Radar micro-Doppler signatures (MDS), which show how different parts of the target move,
can be utilized for security and safety applications like detection and assessment of human …
can be utilized for security and safety applications like detection and assessment of human …
Feature fusion based on Bayesian decision theory for radar deception jamming recognition
H Zhou, C Dong, R Wu, X Xu, Z Guo - IEEE Access, 2021 - ieeexplore.ieee.org
As an important part of electronic warfare, radar countermeasure determines the trend of war
to a large extent. Modern radar jamming technology, especially deception jamming …
to a large extent. Modern radar jamming technology, especially deception jamming …
Millimeter-wave radar micro-Doppler signatures of human motion
S Björklund, H Petersson, A Nezirovic… - 2011 12th …, 2011 - ieeexplore.ieee.org
Radar micro-Doppler signatures can be utilized for security applications like detection and
assessment of human activity at airports, power plants etc. The micro-Doppler signature …
assessment of human activity at airports, power plants etc. The micro-Doppler signature …