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

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


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

  1. the performance vs. complexity of parameter estimation algorithms,
  2. the closeness of fit of parameter estimation algorithms to measured RFI data from the computer platform,
  3. the communication performance vs. computational complexity tradeoffs for the correlation receiver, Wiener filter, and Bayesian detector, and
  4. the performance of myriad filtering in combating RFI interference modeled as SaS interference.


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.

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