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
nassar.marcel@mail.utexas.edu - gulati.k@gmail.com - arvind.sujeeth@mail.utexas.edu - navida@mail.utexas.edu - bevans@ece.utexas.edu

(2) System Technology Lab, Intel, Hillsborough, Oregon USA.

Paper Draft - Slides

RFI Modeling and Mitigation Toolbox

RFI Mitigation Research at UT Austin

Abstract

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 correlation receiver. 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
  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, and
  3. 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.