Results 171 to 180 of about 5,738 (222)

Radar Micro-Doppler Signature Analysis with HHT

IEEE Transactions on Aerospace and Electronic Systems, 2010
Radar micro-Doppler signature analysis of vibrating targets with the joint time-frequency methods can provide useful information for target detection, classification, and recognition. We employ a well-known method for nonlinear and nonstationary signals, Hilbert-Huang transform (HHT) as a new approach in micro-Doppler analysis.
Weixian Liu, Yilong Lu
exaly   +2 more sources

Modeling Small UAV Micro-Doppler Signature Using Millimeter-Wave FMCW Radar [PDF]

Electronics (Switzerland), 2021
With the increase in small unmanned aerial vehicle (UAV) applications in several technology areas, detection and small UAVs classification have become of interest.
Marco Passafiume, Neda Rojhani, Giovanni Collodi   +2 more
exaly   +2 more sources

Vibrating Target Micro-Doppler Signature in Bistatic SAR With a Fixed Receiver

IEEE Transactions on Geoscience and Remote Sensing, 2012
Bistatic synthetic aperture radar (BSAR) provides strategical, technical and economical advantages in radar imaging. Motions and micro-motions of objects in an illuminated scene introduces Doppler and micro-Doppler effects in the received radar echoes ...
Carmine Clemente
exaly   +2 more sources

UAV Micro-Doppler Signature Analysis

2020 IEEE Radar Conference (RadarConf20), 2020
The radar phenomenology of UAVs interacts with the micro-Doppler signal processing in interesting and useful ways. This paper adjusts the micro-Doppler processing to establish more consistent UAV micro-Doppler signatures and improve the separability of relevant features. The outlined approach is developed in the context of UAV rotor analysis.
Daniel B Herr, Thomas J. Kramer, Zeus Gannon, Dave Tahmoush   +3 more
openaire   +1 more source

Through-the-Wall Radar Human Activity Micro-Doppler Signature Representation Method Based on Joint Boulic-Sinusoidal Pendulum Model

IEEE Transactions on Microwave Theory and Techniques
With the help of micro-Doppler signature, ultra-wideband (UWB) through-the-wall radar (TWR) enables the reconstruction of range and velocity information of limb nodes to accurately identify indoor human activities.
Xiaopeng Yang, Weicheng Gao, Xiaodong Qu   +2 more
exaly   +3 more sources

Micro-Doppler Signature Classification

2006 CIE International Conference on Radar, 2006
The micro-Doppler signature of a target is a time varying frequency modulation imparted on the radar echo signal by moving components of the target. Battlefield radar output the radar's baseband signal as audio and soldiers listening on headphones are able to identify the target from its micro-Doppler signature.
Graeme E. Smith, Karl Woodbridge, Chris J. Baker   +2 more
openaire   +1 more source

Template based micro-Doppler signature classification

IET Seminar on High Resolution Imaging and Target Classification, 2006
The micro-Doppler signature of a target is a time varying frequency modulation imparted on the radar echo signal by moving components of the target. Battlefield radar output the baseband signal as audio and soldiers listening on headphones are able to identify the target from its micro-Doppler signature.
Graeme Smith, Karl Woodbridge, Chris Baker   +2 more
openaire   +1 more source

Micro-Doppler radar signatures of human activity

SPIE Proceedings, 2010
We will present the continued development of a millimeter-wave/sub-THz radar system used to capture and assess micro-Doppler signatures of humans. This system is being developed to remotely monitor respiration and heartbeat rates at standoff distances of up to 100 meters.
Moulton, Michael C., Bischoff, Matthew L., Benton, Carla, Petkie, Douglas T.   +3 more
openaire   +3 more sources

Multistatic Micro-Doppler Signature of personnel

2008 IEEE Radar Conference, 2008
For the first time the multistatic Micro-Doppler Signature (mu-DS) of personnel targets has been collected using University College Londonpsilas NetRAD radar system. The data demonstrates that using a multistatic mu-DS is a viable approach to overcoming the problem of self-occlusion, where a target obstructs its own mu-DS, in automatic target ...
Graeme E. Smith, Karl Woodbridge, Chris J. Baker   +2 more
openaire   +1 more source

Multiperspective micro-Doppler signature classification

IET International Conference on Radar Systems 2007, 2007
Multiperspective automatic target recognition is considered to assist underlying classifiers by providing more views of the target. For the first time data from netted radar has been analysed for micro-Doppler signature content and a multiperspective dynamic time warping classifier developed.
G.E. Smith, K. Woodbridge, C.J. Baker
openaire   +1 more source