Results 31 to 40 of about 5,844 (217)

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

Omnidirectional motion classification with mono-static radar using micro-Doppler signatures [PDF]

, 2020
In remote sensing, micro-Doppler signatures are widely used in moving target detection and automatic target recognition. However, since Doppler signatures are easily affected by the moving direction of the target, prior information of aspect angle is ...
Xiang, Wei, Hou, Chunping, Sakamoto, Takuya, He, Yuan, Lang, Yue, Yang, Yang   +5 more
core   +1 more source

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 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 signature analysis for target classification

, 2023
El efecto micro-Dopppler es el fenómeno observado en las señales radar de retorno de un objeto formado por partes móviles. Este efecto es representado por las firmas micro-Doppler, las cuales contienen abundante información sobre el objeto irradiado con radar.
Machuca Meoño, Diego Nicolás
openaire   +2 more sources

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

Gait Classification Based on Micro-Doppler Features [PDF]

, 2016
This paper focuses on the classification of human gaits based on micro-Doppler signatures. The micro-Doppler signatures can represent detailed information about the human gaits, which helps in judging the threat of a personnel target. The proposed method
Li, Gang, Griffiths, H, Ritchie, Matthew, Francesco Fioranelli, Li, G, Ritchie, M, Griffiths, Hugh, Fioranelli, Francesco, Yang, Le, Le Yang, Gang Li, Yang, L, Fioranelli, F, Hugh Griffiths, Matthew Ritchie   +14 more
core   +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

Classification of UAV-to-Ground Vehicles Based on Micro-Doppler Signatures Using Singular Value Decomposition and Deep Convolutional Neural Networks

IEEE Access, 2019
Attack from the unmanned aerial vehicles (UAVs) has been the main means of high-precision strike. Therefore, classifying ground vehicles from the UAV with high accuracy is of great significance.
Lingzhi Zhu, Shuning Zhang, Huichang Zhao, Si Chen, Dongxu Wei, Xiangyu Lu   +5 more
doaj   +1 more source

Arm Motion Classification Using Time-Series Analysis of the Spectrogram Frequency Envelopes

Remote Sensing, 2020
Hand and arm gesture recognition using radio frequency (RF) sensing modality proves valuable in man−machine interfaces and smart environments. In this paper, we use the time-series analysis method to accurately measure the similarity of the micro ...
Zhengxin Zeng, Moeness G. Amin, Tao Shan   +2 more
doaj   +1 more source