From: *Travis*
Date: Mon, Dec 29, 2008
Subject:  UT professor refines art of looking behind walls








http://www.statesman.com/business/content/business/stories/technology/12/14/1214innovator.html


 UT professor refines art of looking behind walls Doppler radar technology
being adapted to identify hidden objects, watch people surreptitiously.

By Dan Zehr <[email protected]>
AMERICAN-STATESMAN STAFF
Sunday, December 14, 2008

Hao Ling can see through walls.

His X-ray vision is a little blurry right now, but he's sharpening it with
the help of a team of researchers at the University of Texas.

Ling, an electrical engineering professor at UT, is one of handful of
experts nationwide researching radar technologies that eventually could help
soldiers, police and rescue workers locate human movement on the other side
of walls or inside crumbled buildings.

His latest project is funded by a National Science Foundation program aimed
at developing fresh ways to combat roadside bombs and other terrorist
activity.

Ling and his team at UT are researching ways to take Doppler radar
technology — the same basic systems meteorologists use to track storms — and
put it to work identifying people as they move around in places the naked
eye can't see. The goal is to transform waves the radar produces into
understandable images of whoever is behind the wall.

The research is still in the early stages, but the potential is easy to see.
Future systems could help in situations such as the recent terrorist attacks
in Mumbai, India, where police needed to know where the attackers were holed
up in the Taj Mahal Palace Hotel. It could help soldiers in Iraq detect
whether someone is hiding in a house, and whether they have a gun. It could
help a rescue workers pinpoint a survivor struggling under the rubble left
in a tornado's path.

Ling, 49, is one of the country's pre-eminent experts in his niche of radar
research. He is also part of Austin's community of innovators — the
researchers and entrepreneurs whose new ideas could someday produce
solutions to problems as such as global warming, disease prevention and
using technology to make the country safer. Austin likes to bill itself as a
city of ideas, and these innovators are at the core of that reputation.

Cutting-edge basic research is the ground floor for Austin's growth
economies. It's the platform for applied research, which can turn
technological innovation into new companies and jobs.

"If you don't have that base, you don't get to play at the next level," said
Pike Powers, an Austin lawyer and longtime player in building the city's
high-technology foundation.

In his lab at UT's Pickle Research Campus, Ling and his team bounce radar
signals off people as they walk, run or crawl around the room. They built a
makeshift cinder-block wall so they can run tests that track people moving
on the other side.

Unlike the optical waves that produce human sight, certain radar signals can
penetrate walls. But the image produced by the radar looks more like some
esoteric wave pattern than a visual image. The systems can't return a
definitive picture of the person on the other side of the wall, let alone
suggest what they might be up to.

So researchers are working to develop a sort of radar brain that can take
the feedback, filter out extraneous data and translate the results into an
easily recognizable picture. Ling and his team at UT hope to use their
physical experiments to craft a proven simulation program that radar experts
can use to train those radar brains.

Blending theory, pragmatism

The human brain already is "trained to recognize, 'This is a scene. Here is
a person walking,' " Ling said. "All that (optical) knowledge base is
already between your ears.

"The unfortunate thing about radar is, it's an unfamiliar thing for a person
to recognize," he said. "It's starting from ground zero, so you have to
train it to make it understandable."

When Ling came to UT in 1986, he already was a rising star in
electromagnetics, colleagues and former students said. He finished his
doctoral work at the University of Illinois and came out with what
colleagues described as a rare balance of the theoretical and the pragmatic.


Unlike many researchers who see only the intricacies of their research, they
said, Ling also could see the practical application of his work.

"That's a combination of skills that, frankly, not a lot of people have,"
said Robert Rogers, a research engineer at UT's Applied Research
Laboratories . Ling sat on Rogers' doctoral dissertation committee.

"He never tries to grandstand or snowball anybody with what he knows,
although he easily could," Rogers said. "He tries to bring people up to his
level. I think that's the mark of a good teacher."

Ling, who moved with his family from Taiwan to Maryland when he was 13, had
started to strike that balance during his undergraduate work at the
Massachusetts Institute of Technology. His first major was physics, and he
added electrical engineering around his junior year. Electromagnetism gave
him the best combination of his interest in engineering and his passion for
physics.

"In some ways, it's sort of God's rule versus man-made rule," Ling said.
"Usually, engineering is about designing things, but in some ways physics is
sort of unveiling what nature lets you do. I've been more interested in
uncovering what nature lets you do."

Challenges of detail, radar noise

His current project has roots in the Persian Gulf War and the dozens of
friendly-fire incidents that occurred. Frustrated by the difficulty of
identifying certain targets, the U.S. Air Force, the U.S. Naval Research
Laboratories and other federal agencies launched programs to improve
radar-detection techniques.

One key problem stemmed from the interference that the moving parts of a
vehicle would cause on a Doppler radar's feedback. When a police officer
bounces a radar wave off a car, its frequency changes — increasing if the
vehicle moves closer and decreasing if it moves away.

But police radar only needs to find the vehicle's speed. The technical
challenges grow when the objective is to track a vehicle over distance or
identify it as friend or foe.

That work often is muddled by smaller wave patterns, called micro-Dopplers,
generated by the moving parts of a larger body. Imagine, for example, the
feedback a helicopter's rotors would generate in addition to the signal from
the chopper as a whole.

"They were almost a nuisance in the image," Ling said, "so I wanted to find
ways to extract something useful out of these micro-Dopplers."

He's one of a relatively small and obscure group of researchers who have
taken up that task.

Backed by the National Science Foundation grant, Ling and his team at UT
have taken a somewhat different approach to the problem. Rather than just
test different hardware and software models, they hope to craft a program
that would simulate the wide variety of wave patterns created by people in
motion.

"That in a sense illustrates what we're after: outside-the-box ideas," said
Bruce Hamilton, director of the National Science Foundation program funding
Ling's research. "We're not trying to compete with the Department of
Defense. The idea was to really open up a new window, namely to academic
researchers who might otherwise not be involved."

Defining the possible

If all goes well, Ling and his team could prove the accuracy of the
simulation with actual testing. With that work in place, they could turn the
program loose to train radar systems to translate the feedback they receive.
In theory, these radar systems could track people in a hostage situation as
they moved and identify those who were carrying weapons. Troops in urban
combat could identify threats inside buildings before barging in.

With that knowledge, users could craft better plans for handling different
situations, said Chao Lu, a micro-Doppler researcher and acting dean of
Towson University's College of Graduate Studies and Research . That's the
driving push behind much of this radar research.

"It's an estimate; you never know exactly" what's going on if you don't have
a line of sight into a room, Lu said. "But it can make a difference if
people are walking around in the room carrying a weapon or if they're
empty-handed. That type of movement would be different on the radar."

For now, Ling and his team can track a person moving on the other side of
their wall. They can point out the parts of the resulting micro-Doppler wave
pattern that relate to a person's torso, arms, legs or a stick they're
carrying. But even to their trained eyes, there's a wide gap between their
wave patterns and a full identification of what's on the other side.

But then that's why Ling got into this work: to seek out the boundaries
nature has set and to go "exploring the art of the possible," as he said.
After all, he said, nothing in engineering and physics theory says it's
impossible to build a radar system that will help him see through walls.

"Optical is electromagnetic radiation," he said. "Radar is electromagnetic
radiation, but at different frequencies. \u2026 The sexiness of using radar
is, you can do through-wall detection. When people walk around a corner, you
can still continue to track them."


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