Radar is an established basic tool in diverse
applications such as surveillance, border patrol, sensing hazardous
material, search and rescue, asset monitoring, agriculture and urban
planning.
In all of these applications, the advance
of methods to maximize information extraction remains a highly desirable
and challenging goal.
The advances and requirements
Recent advances in hardware technology and new radar platforms are
enabling a much wider range of design freedoms. At the same time,
there are emerging and compelling changes in system requirements
such as greater information content, higher sensitivities, and improved
tolerance to noise and interference.
Rensselaer's radar program
Our research program includes integrated sensing and imaging where
radar's mission, waveform design and image reconstruction are integrated
within a systems approach. Our multi-disciplinary approach combines
physics-based modeling with statistical techniques and microlocal
analysis to address SAR image reconstruction and waveform diversity
design problems in the context of radar's mission.
Physics-based modeling approach embraces
multipathing; attenuating environments; wide-band, wide-aperture
systems; mono- and multi-static measurements; and waveform illumination
parameters also including image understanding objectives to the
data collection process.
Statistical treatment of microlocal techniques
is a novel approach that offers robust and fast image reconstruction
algorithms for physics-based models in non-ideal conditions.
Rensselaer's approach extends beyond
radar imaging
The fundamental developments of this project are also applicable
to a variety of other imaging modalities including sonar, medical
ultrasound, non-destructive testing, and seismic prospecting.
Project Members
The faculty leaders for the graduate student cohort in this project
are Birsen Yazici and Margaret Cheney.
Rensselaer Faculty
Margaret Cheney
Birsen Yazici
Postdoc
Trond Varslot
Graduate Students
Matt Ferrara
Evren Yarman
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