Results 111 to 120 of about 1,430,561 (211)
Measurement and Analysis of Multiband Bistatic and Monostatic Radar Signatures of Wind Turbines [PDF]
This paper presents the results of recent measurements taken with two radar systems to measure the simultaneous monostatic and bistatic signature of wind turbines, at S-band and X-band.
Ritchie, MA +3 more
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Through-the-wall radar can penetrate walls and realize indoor human target detection. Deep learning is commonly used to extract the micro-Doppler signature of a target, which can be used to effectively identify human activities behind obstacles. However,
Xiaopeng YANG, Weicheng GAO, Xiaodong QU
doaj +1 more source
Three-Dimensional Human Pose Estimation from Micro-Doppler Signature Based on SISO UWB Radar
In this paper, we propose an innovative approach for transforming 2D human pose estimation into 3D models using Single Input–Single Output (SISO) Ultra-Wideband (UWB) radar technology.
Xiaolong Zhou +4 more
doaj +1 more source
Radar UAV and bird signature comparisons with micro-Doppler [PDF]
Ritchie, M, Peters, N, Horne, C
openaire +2 more sources
RADAR HIGH RESOLUTION RANGE & MICRO-DOPPLER ANALYSIS OF HUMAN MOTIONS [PDF]
International audienceIn radar imaging it is well known that relative motion or deformation of parts of illuminated objects induce additional features in the Doppler frequency spectra.
Nicolas, Jean-Marie +3 more
core +2 more sources
Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm
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
Pseudo-Zernike moments based radar micro-Doppler classification
Reliable micro-Doppler signature classification requires the use of robust features describing uniquely the micromotion. Moreover, future applications of micro-Doppler classification will require meaningful representation of the observed target by using ...
Clemente, Carmine +4 more
core +3 more sources
Hand Gesture Recognition Using FSK Radar 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 +3 more
doaj +1 more source
Small multi-rotor UAVs are difficult radar targets: their radar cross-section is low and aspect-dependent, and their slow body motion overlaps with birds and clutter in Doppler processing. We address W-band (94 GHz) detection with a physics-informed, non-
Yael Balal +3 more
doaj +1 more source
Terahertz Micro-Doppler Radar for Detection and Characterization of Multicopters [PDF]
: The micromotions (e.g. vibration, rotation, etc.,) of a target induce time-varying frequency modulations on the reflected signal, called the micro-Doppler modulations.
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