Radar imaging is a technology that has been
developed, very successfully,
within the engineering community during the last 50 years. Radar
systems on
satellites now make beautiful images of regions of our earth and of
other
planets such as Venus. One of the key components of this impressive
technology is mathematics, and many of the open problems are
mathematical
ones.
This lecture will explain, from first principles, the basics of
radar and
the mathematics involved in producing high-resolution radar images.
Prof. Cheney works on inverse problems in acoustics and electromagnetic
theory. Some of her work has dealt with
low-frequency electromagnetic imaging, in which images are made of objects
much smaller than the wavelength of the
interrogating fields. More recently she has been working on remote sensing
problems, including ground-penetrating
radar, sonar, adaptive time-reversal methods in both acoustics and electromagnetics,
Synthetic Aperture Radar (SAR), and Inverse Synthetic Aperture Radar (ISAR).