Intel Labs Seminar
Mitigating Computer Platform Radio Frequency Interference in
Embedded Wireless Transceivers
Prof. Brian L. Evans
Embedded Signal Processing Laboratory
Dept. of Electrical and Computer Engineering
The University of Texas at Austin, Austin, Texas
bevans@ece.utexas.edu
Lead graduate students:
Kapil Gulati
and
Marcel Nassar
Other graduate students:
Aditya Chopra
and
Marcus DeYoung
Undergradate students
Navid Aghasadeghi
and
Arvind Sujeeth
Monday, February 25, 2008
Intel Labs, Portland, Oregon
Slides -
Questions & Answers
Abstract
In laptop and desktop computers, clocks and busses generate significant
radio frequency interference (RFI) for the embedded wireless data transceivers.
RFI may be viewed as a combination of independent radiation events, and 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 correlation receiver. In this paper, we model impulsive noise
using Middleton Class A and Symmetric Alpha Stable (SaS) models. The contributions
of this talk 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,
- the communication performance vs. computational complexity tradeoffs
for the correlation receiver, Wiener filter, and Bayesian detector, and
- the performance of myriad filtering in combating RFI interference modeled
as SaS interference.
Biography
Prof. Brian L. Evans is a Professor of Electrical and Computer Engineering
at The University of Texas at Austin. Prof. Evans' research efforts are in
embedded real-time digital signal and image processing systems. His research
group derives application performance bounds and optimal algorithms to achieve
those bounds, as well as low-complexity algorithms and embedded prototypes.
In signal processing, his group conducts research in multicarrier wired and
wireless data communication systems. In image processing, his group researches
high-quality halftoning for desktop printers and reflective displays.
Prof. Evans has published over 170 refereed conference and journal papers, and
has graduated 16 PhD students. He was awarded a 1997 US National Science
Foundation CAREER Award.
Mail comments about this page to
bevans@ece.utexas.edu.