| April
4, 2006
Finding a Better Way to Quiet Noisy
Environments
By Rex Graham
Researchers
at UCSD report in the April 4 issue of the Journal of Sound
and Vibration a new mathematical algorithm designed to
dramatically improve noise-cancellation technologies that are
used to quiet everything from airplane cabins to commercial
air conditioning systems. The new technique improves the ability
to achieve destructive interference, the generation of anti-noise
signals that combine with and destroy unwanted sounds.
“Noise
cancellation is a hidden technology that most consumers aren’t
aware of, but vehicles made by BMW, Mercedes, Honda, and other
companies are now using it,” said Raymond de Callafon,
co-author of the paper and a professor of mechanical and aerospace
engineering at UCSD’s Jacobs School of Engineering. “Our
new technique should greatly expand the potential of active
noise-cancellation technologies.”
Basic active noise-cancellation
is composed of four inter-related parts: a microphone that measures
incoming noise and feeds that information to a computer, a computer
processor that converts the noise information into anti-noise
instructions, and an audio speaker that is driven by the anti-noise
signal to broadcasts sound waves that are exactly 180 degrees
out of phase with the unwanted signal and of the same magnitude.
In addition, a downstream microphone monitors residual noise
and signals the computer as part of a process to optimize the
anti-noise signal.
This “feedforward”
active-noise control can reduce unwanted helicopter and cabin
noise or the steady roar of industrial air handling systems
by 40 decibels or more. However, most commercial systems suffer
from acoustic feedback because the anti-noise signal produced
by the noise-cancellation speakers can feed back into the microphone
and become amplified repeatedly until the resulting sound becomes
an ear-splitting squeal or whistle.
“Most people
ignore this acoustic coupling but we took it into account and
designed the feedforward noise cancellation knowing that the
acoustic coupling is there,” said de Callafon.
Some makers of active
noise cancellation avoid acoustic coupling by shielding microphones
from speakers, or by using directional microphones and speakers
that are pointed away from each other. “This works fine
in the case of noise-reduction headphones and air-conditioning
ducts, but it’s impractical in hundreds of other applications,”
de Callafon said.
For example, the algorithm
developed by de Callafon and Ph.D. candidate J. Zeng may be
adapted to cancel unwanted complex signals that are moving,
such as the sound of bustling urban traffic coming through a
ventilation opening.
“We think we’ve
developed a totally new approach that works by generating the
‘feedforward’ noise cancellation signals and adaptively
changing them in the presence of acoustic coupling,” de
Callafon said. “This has been a really complicated problem
to solve and we think the approach we’ve taken will have
a significant impact on the field.”
The research was supported
by the William J. von Liebig Center for Entrepreneurism and
Technology Advancement at UCSD.
Media Contacts: Rex
Graham, Jacobs School of Engineering - 858-822-3075
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