Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro …
Y Kim, H Ling - IEEE transactions on geoscience and remote …, 2009 - ieeexplore.ieee.org
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 …
In this paper, a novel feature extraction technique for micro-Doppler classification and its real-time implementation using a support vector machine classifier on a low-cost, embedded …
C Clemente, L Pallotta, A De Maio… - … on Aerospace and …, 2015 - ieeexplore.ieee.org
Phase modulation induced by target micromotions introduces sidebands in the radar spectral signature returns. Time-frequency distributions facilitate the representation of such …
Z Qun, H Jian, L Ying, C Yijun - 雷达学报, 2018 - radars.ac.cn
The technique of radar feature extraction, imaging, and recognition of target with micro- motions has become one of the most potential research directions in the field of radar target …
Y Li, L Du, H Liu - IEEE Transactions on Geoscience and …, 2012 - ieeexplore.ieee.org
A novel method is proposed for moving wheeled vehicle and tracked vehicle classification using micro-Doppler features from returned radar signals within short dwell time. In this …
This paper describes the first feasibility study using dynamic time warping (DTW) to classify the micro-Doppler signature (μ-DS) for radar automatic target recognition (ATR). Real radar …
MAAH Khan, R Kukkapalli… - … INFOCOM 2016-The …, 2016 - ieeexplore.ieee.org
Activity recognition has applications in a variety of human-in-the-loop settings such as smart home health monitoring, green building energy and occupancy management, intelligent …
This study extends the theory of the micro-Doppler effect into the multistatic domain, and considers how the multistatic micro-Doppler signature (µ-DS) will affect radar automatic …