Proc. IEEE International Conference on Acoustics,
Speech, and Signal Processing,
March 30-April 4, 2008,
accepted for publication.
Mitigating Near-Field Interference in Laptop Embedded Wireless Transceivers
Marcel Nassar (1),
Kapil Gulati (1),
Arvind K. Sujeeth (1),
Navid Aghasadeghi (1),
Brian L. Evans (1) and
Keith R. Tinsley (2)
(1) Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
(2) System Technology Lab, Intel, Hillsborough, Oregon USA.
Paper Draft -
RFI Modeling and
RFI Mitigation Research at UT Austin
Laptop and desktop computer subsystems generate significant radio frequency
interference (RFI) for the embedded wireless data transceivers.
RFI is impulsive in nature.
When detecting a signal in additive impulsive noise, Spaulding and Middleton
showed a potential improvement in detection of 25 dB at a bit error rate of
10-5 when using a Bayesian detector instead of a standard
In this paper, we model impulsive noise using Middleton Class A and
Symmetric Alpha Stable (SaS) models.
The contributions of this paper are to evaluate
- the performance vs. complexity of parameter estimation algorithms
- the closeness of fit of parameter estimation algorithms to measured
RFI data from the computer platform, and
- the communication performance vs. computational complexity tradeoffs
for the correlation receiver, Wiener filter, Bayesian detector, and
a small signal approximation for the Bayesian detector.
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Last Updated 12/21/09.