Proc. Asilomar Conf. on Signals, Systems and Computers,
Nov. 6-9, 2011,
Pacific Grove, CA USA.
Low Complexity EM-based Decoding for OFDM Systems with Impulsive Noise
Marcel Nassar and
Brian L. Evans
Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
Paper Draft -
Interference Modeling and Mitigation Toolbox
Interference Mitigation Research at UT Austin
Modern OFDM systems such as cellular LTE and powerline communications
experience additive impulsive noise emitted from their environment.
OFDM modulation has been shown to provide resilience to impulsive
noise due to its code diversity.
However, typical OFDM receivers designed under the Gaussian noise
assumption will lead to suboptimal performance due to the dependence
in noise statistics across subcarriers resulting from the FFT operation.
As a result, optimal detection of OFDM symbols becomes prohibitive
due to its exponential complexity.
We consider the design of a practical class of OFDM receivers that
are constrained to perform independent detection on each subcarrier.
In this paper, we propose an EM based low-complexity iterative
decoding algorithm for OFDM systems in impulsive noise environments
that preserves the independent decoding across subcarriers.
Then we validate its performance under typical impulsive noise
conditions based on noise traces collected from wireless and
Our proposed method achieves a gain between 2-7dB over the conventional
OFDM receiver depending on the SNR range.
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Last Updated 11/12/11.