Model-Based Radar Imaging of Targets with Complex Motions
Mr. Junfei Li
Electrical and Computer Engineering
The University of Texas at Austin
Tuesday, March 19th, 2:00 PM, ENS 637
fei@ece.utexas.edu
Abstract
Although widely recognized as a promising tool in automatic target recognition
in the radar community, inverse synthetic radar (ISAR) imaging is not yet fully
operational in real-world data processing. To recognize the potentials and
limitations of high-resolution radar imaging, three sets of radar images,
namely, blind motion-compensated images, GPS-aided images, and Xpatch-simulated
images are first generated and analyzed.
In this talk, we focus on how to deal with the complex motions associated with
a non-cooperative target, including high-order motion, 3-D motion and non-rigid
body motion. Through our research, physical models are emphasized to understand
the radar data. Adaptive joint time-frequency techniques and genetic algorithms
are used for the information extraction process.
Biography
Mr. Junfei Li received his B.S. and M.S. degrees in electrical engineering
from Northwestern Polytechnical University, Xi'an, China, in 1992 and 1995,
respectively. He was with the Institute of Remote Sensing Applications, Chinese
Academy of Sciences from 1995 to 1998. He is currently a Ph.D. candidate at the
University of Texas at Austin. His research interests include radar signal
processing and imaging, microwave remote sensing, inverse scattering, RF and
microwave engineering.
A list of Telecommunications and Signal Processing Seminars is available at
from the ECE department Web pages under "Seminars".
The Web address for the Telecommunications and Signal Processing Seminars is
http://signal.ece.utexas.edu/seminars