Dr. Victor C. Chen
Electronics Engineer
SPIE Involvement:
Author | Instructor
Publications (42)

Proceedings Article | 1 April 2003 Paper
Proc. SPIE. 5102, Independent Component Analyses, Wavelets, and Neural Networks
KEYWORDS: Radar, Doppler effect, Gait analysis, Time-frequency analysis, Synthetic aperture radar, Reflectors, Combustion, Mathematics, Modulation, Microwave radiation

SPIE Journal Paper | 1 January 2003
OE Vol. 42 Issue 01
KEYWORDS: Radar, Digital filtering, Radar imaging, Detection and tracking algorithms, Synthetic aperture radar, Optical filters, Image filtering, Electronic filtering, Fourier transforms, Optical engineering

Proceedings Article | 7 August 2002 Paper
Proc. SPIE. 4728, Signal and Data Processing of Small Targets 2002
KEYWORDS: Target detection, Doppler effect, Radar, Radon transform, Time-frequency analysis, Signal to noise ratio, Detection and tracking algorithms, Antennas, Analytical research, Reflectivity

Proceedings Article | 8 March 2002 Paper
Proc. SPIE. 4738, Wavelet and Independent Component Analysis Applications IX
KEYWORDS: Target detection, Doppler effect, Signal detection, Fourier transforms, Radar, Detection and tracking algorithms, Radar signal processing, Darmstadtium, Signal processing, Electronic filtering

Proceedings Article | 8 March 2002 Paper
Proc. SPIE. 4738, Wavelet and Independent Component Analysis Applications IX
KEYWORDS: Time-frequency analysis, Transform theory, Radon transform, Target detection, Synthetic aperture radar, Fourier transforms, Radar imaging, Signal detection, Commercial off the shelf technology, Electronic filtering

Showing 5 of 42 publications
Conference Committee Involvement (4)
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV
19 April 2006 | Orlando (Kissimmee), Florida, United States
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III
30 March 2005 | Orlando, Florida, United States
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II
14 April 2004 | Orlando, Florida, United States
Independent Component Analyses, Wavelets, and Neural Networks
22 April 2003 | Orlando, Florida, United States
Course Instructor
SC1031: Radar Micro-Doppler Signatures - Principles and Applications
This course explains basic principles and applications of the micro-Doppler signatures of radar targets. A micro-Doppler signature is a distinctive characteristic of the intricate frequency modulations generated from each component part of a target and is represented in the joint time and Doppler frequency domain. Micro-Doppler signatures provide unique target features that are complementary to those made available by existing methods. The primary goals of the course are to describe the radar micro-Doppler effect, the mathematical and dynamic models of targets with various motions and the analysis of micro-Doppler signatures. The course will present current applications of radar micro-Doppler signature analysis to target detection, characterization, and classification. Radar data returned from rigid body motion and non-rigid body motion will be used in the presentation examples as well as simulations. Examples are shown from state-of-the-art radars in both anechoic chambers and realistic environments.
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