Results 111 to 120 of about 1,902,052 (207)

Radar UAV and bird signature comparisons with micro-Doppler [PDF]

, 2021
Ritchie, M, Peters, N, Horne, C
openaire   +2 more sources

Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm

IEEE Access
Radar technology, particularly frequency-modulated continuous wave (FMCW) radar, has garnered attention in the field of smart home monitoring owing to its high sensitivity, long-range surveillance capabilities, and privacy-preserving characteristics ...
Ruoyu He, Masaki Kurosawa, Guanghao Sun
doaj   +1 more source

Micro-Doppler Analysis of Small UAVs

, 2012
Coherent radar measures micro-Doppler properties of moving objects. The micro-Doppler signature depends on parts of an object moving and rotating in addition to the main body motion (e.g.
Prémel Cabic, G., Wit, J.J.M. de, Harmanny, R.I.A.   +2 more
core  

Terahertz Micro-Doppler Radar for Detection and Characterization of Multicopters [PDF]

, 2018
: The micromotions (e.g. vibration, rotation, etc.,) of a target induce time-varying frequency modulations on the reflected signal, called the micro-Doppler modulations.

core  

Hand Gesture Recognition Using FSK Radar Sensors

Sensors
Hand gesture recognition, which is one of the fields of human–computer interaction (HCI) research, extracts the user’s pattern using sensors. Radio detection and ranging (RADAR) sensors are robust under severe environments and convenient to use for hand ...
Kimoon Yang, Minji Kim, Yunho Jung, Seongjoo Lee   +3 more
doaj   +1 more source

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 ...
Machuca Meoño, Diego Nicolás
openaire   +2 more sources

Radar High Resolution Range & Micro-Doppler Analysis of Human Motions [PDF]

, 2009
In radar imaging it is well known that relative motion or deformation of parts of illuminated objects induce additional features in the Doppler frequency spectra.
Le Kernec, J., Vignaud, L., Ghaleb, A., Nicolas, J.-M.   +3 more
core   +1 more source

Knowledge Exploitation for Human Micro-Doppler Classification

, 2015
Micro-Doppler radar signatures have great potential for classifying pedestrians and animals, as well as their motion pattern, in a variety of surveillance applications.
Karabacak, Cesur, Guldogan, Mehmet B., Hendeby, Gustaf, Gurbuz, Sevgi Z., Gurbuz, Ali C., Gustafsson, Fredrik,, Gustafsson, Fredrik, Hendeby, Gustaf,, Gurbuz, Sevgi Z.,, Guldogan, Mehmet B.,, Karabacak, Cesur,, Gurbuz, Ali C.,   +11 more
core   +1 more source

Spectral-Kurtosis and Image-Embedding Approach for Target Classification in Micro-Doppler Signatures

Micro-Doppler signature represents the micromotion state of a target, and it is used in target recognition and classification technology. The micro-Doppler frequency appears as a transition of the Doppler frequency due to the rotation and vibration of an
Ji-Hyeon Kim, Soon-Young Kwon, Hyoung-Nam Kim   +2 more
core   +1 more source

Classification of Small UAVs and Birds by Micro-Doppler Signatures

, 2013
The problem of unmanned aerial vehicles classification using continuous wave radar is considered in this paper. Classification features are extracted from micro-Doppler signature.
Egiazarian, K., Wit, J.J.M. de, Harmanny, R.I.A., Astola, J., Molchanov, P.   +4 more
core