Results 151 to 160 of about 979,995 (200)

Mini-UAV Movement Classification Based on Sparse Decomposition of Micro-Doppler Signature

IEEE Geoscience and Remote Sensing Letters
It is necessary for radar sensors used in security and privacy surveillance systems to determine the movements of mini-unmanned aerial vehicles (UAVs) to evaluate and analyze their flight intent or purpose.
Gang Lu, Yun Bu
semanticscholar   +1 more source

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

Flying Objects Classification Based on Micro–Doppler Signature Data From UAV Borne Radar

IEEE Geoscience and Remote Sensing Letters
Unmanned aerial vehicles (UAVs) have been widely used in many facets of contemporary society over the past ten years due to their accessibility and affordability. The rise in drone usage brings up privacy and security issues.
Priti Mandal, Lakshi Prosad Roy, Santos Kumar Das   +2 more
semanticscholar   +1 more source

The pre-stenotic Doppler shift signature.

VASA. Zeitschrift fur Gefasskrankheiten, 1992
In two series of measurements the Doppler shift signatures of 10 healthy volunteers were studied at varying distances proximal to a total reflection site, in order to describe parameters which are predictive for downstream lesions. Characteristic changes both in amplitude and time parameters were found; the most marked changes being the abolishment of ...
K H, Labs, P, Windeck, T, Pischel, K A, Jäger   +3 more
openaire   +2 more sources

UAV Micro-Doppler Signature Analysis Using DVB-S Based Passive Radar

Radar, 2020
Drones and unmanned aerial vehicles (UAVs) are increasingly popular, thus posing danger and threats to infrastructures and public safety. A technology for drone detection and classification would therefore significantly increase the level of security. In
M. Ummenhofer, Louis Cesbron Lavau, D. Cristallini, D. O’Hagan   +3 more
semanticscholar   +1 more source

Analytical models of Doppler data signatures

Journal of Guidance, Control, and Dynamics, 1995
A primary indicator of the accuracy of orbit determination based on Doppler tracking is the graph of residuals vs time. Parameter errors in the orbit determination model produce characteristic signatures in the residuals plot. A systematic method of modeling the signature due to a parameter error by means of first and second partial derivative ...
Connie J. Weeks, Melissa J. Bowers
openaire   +1 more source

Coherent track‐before‐detect with micro‐Doppler signature estimation in array radars

IET radar, sonar & navigation, 2020
In this work, the authors consider joint micro-Doppler signature estimation and track-before-detect for detecting and classifying manoeuvring and small rotary-wing aircraft with a phased array radar receiver.
Kimin Kim, Murat Üney, B. Mulgrew
semanticscholar   +1 more source

Data-Driven STFT for UAV Micro-Doppler Signature Analysis

Radar, 2020
The Short Time Fourier Transform (STFT) constructs the instantaneous spectrum of an observed dataset after applying a temporal taper for the sake of micro-Doppler feature extraction.
D. B. Herr, D. Tahmoush
semanticscholar   +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

Micro-Doppler Signatures of Small Boats

2014
In this chapter, the authors first use the small boats and sea clutter database collected by the Council for Scientific and Industrial Research (CSIR) of South Africa to demonstrate radar microDoppler signatures of small boats in sea clutter. Then, microDoppler images of small boats were compared in the littoral environment.
Victor C. Chen, David Tahmoush
openaire   +1 more source