Results 21 to 30 of about 1,559 (184)

Coupled micro-Doppler signatures of closely located targets [PDF]

Physical Review B, 2019
The classical Doppler shift originates from the movement of a target's center of mass, but it does not hold information about the internal dynamics of the scattering object. In contrast, micro-Doppler signatures contain data about the micro-motions that arise from internal degrees of freedom within the target (such as rotation and vibration), which can
Kozlov, Vitali, Kosulnikov, Sergey, Filonov, Dmitry, Schmidt, Andrey, Ginzburg, Pavel   +4 more
openaire   +2 more sources

Analysis of micro-Doppler signatures

IEE Proceedings - Radar, Sonar and Navigation, 2003
Mechanical vibration or rotation of a target or structures on the target may induce additional frequency modulations on the returned radar signal which generate sidebands about the target's Doppler frequency, called the micro-Doppler effect. Micro-Doppler signatures enable some properties of the target to be determined.
V.C. Chen, F. Li, S.-S. Ho, H. Wechsler
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Towards Adversarial Denoising of Radar Micro-Doppler Signatures [PDF]

2019 International Radar Conference (RADAR), 2019
Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation. They learn the joint distribution of the training data and attempt to generate new data samples in high dimensional space following the same distribution as the input.
Karim Armanious, Sherif Abdulatif, Fady Aziz, Bernhard Kleiner, Bin Yang 0009   +4 more
openaire   +2 more sources

DeepActivity: a micro-Doppler spectrogram-based net for human behaviour recognition in bio-radar

The Journal of Engineering, 2019
The movements of the human body and limbs result in unique micro-Doppler signatures, which can be exploited for classifying human activities. In this work, the authors propose a Convolutional Gated Recurrent Units Neural Network (CNN-GRU) to classify ...
Hao Du, Tian Jin, Yongping Song, Yongpeng Dai   +3 more
doaj   +1 more source

Obfuscation of Human Micro-Doppler Signatures in Passive Wireless RADAR

IEEE Access, 2023
When wireless communication signals impinge on a moving human they are affected by micro-Doppler. A passive receiver of the resulting signals can calculate the spectrogram that produces different signatures depending on the human activity.
Antonios Argyriou
doaj   +1 more source

Classification of small UAVs and birds by micro-Doppler signatures [PDF]

International Journal of Microwave and Wireless Technologies, 2014
The popularity of small unmanned aerial vehicles (UAVs) is increasing. Therefore, the importance of security systems able to detect and classify them is increasing as well. In this paper, we propose a new approach for UAVs classification using continuous wave radar or high pulse repetition frequency (PRF) pulse radars.
Molchanov, P., Harmanny, R.I.A., Wit, J.J.M. de, Egiazarian, K., Astola, J.   +4 more
openaire   +3 more sources

Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System

Remote Sensing, 2017
Micro-Doppler signature can convey information of detected targets and has been used for target recognition in many Radar systems. Nevertheless, micro-Doppler for the specific Forward Scattering Radar (FSR) system has yet to be analyzed and investigated ...
Raja Syamsul Azmir Raja Abdullah, Ali Alnaeb, Asem Ahmad Salah, Nur Emileen Abdul Rashid, Aduwati Sali, Idnin Pasya   +5 more
doaj   +1 more source

Classification and Discrimination of Birds and Small Drones Using Radar Micro-Doppler Spectrogram Images

Signals, 2023
This paper investigates the use of micro-Doppler spectrogram signatures of flying targets, such as drones and birds, to aid in their remote classification.
Ram M. Narayanan, Bryan Tsang, Ramesh Bharadwaj   +2 more
doaj   +1 more source

Efficient Classification of Birds and Drones Considering Real Observation Scenarios Using FMCW Radar [PDF]

Journal of Electromagnetic Engineering and Science, 2021
In this study, we consider real observation scenarios and propose an efficient method to accurately distinguish drones from birds using features obtained from their micro-Doppler (MD) signatures.
Se-Won Yoon, Soo-Bum Kim, Joo-Ho Jung, Sang-Bin Cha, Young-Seok Baek, Bon-Tae Koo, In-Oh Choi, Sang-Hong Park   +7 more
doaj   +1 more source

Micro-motion Signature Extraction Method for Wideband Radar Based on Complex Image OMP Decomposition

Leida xuebao, 2012
In order to extract the micro-motion signatures in condition of Migration Through Range Cells (MTRC) of micro-motional scatterers and azimuthal undersampling in wideband radar, a method based on the Orthogonal Matching Pursuit (OMP) decomposition of the
Luo Ying, Zhang Qun, Wang Guo-zheng, Guan Hua, Bai You-qing   +4 more
doaj   +1 more source