2013 Proc. Asilomar Conference on Signals, Systems and Computers

A Factor-Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Channels

Marcel Nassar (1), Philip Schniter (2) and Brian L. Evans (3)

(1) Mobile Solutions Lab, Samsung Information Systems America, San Diego, CA USA.

(2) Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH USA

(3) Department of Electrical and Computer Engineering, Wireless Networking and Communications Group, The University of Texas at Austin, Austin, TX USA

Paper - Slides

Journal paper based on this conference paper


We propose a factor-graph-based approach to joint channel/noise-estimation-and-decoding (JCNED) of LDPC-coded orthogonal frequency division multiplexing (OFDM) systems in impulsive noise environments. Impulsive noise arises in many modern wireless and wireline communication systems, such as cellular LTE and powerline communications, due to uncoordinated interference that is much stronger than thermal noise. Our receiver merges prior knowledge of the impulsive noise models with the recently proposed ``generalized approximate message passing'' (GAMP) algorithm, and soft-input soft-output decoding through the sum-product framework. Unlike the prior work, we explicitly consider channel estimation in the problem formulation. For N subcarriers, the resulting receiver has a complexity of O(N log N), comparable to a typical DFT receiver. Numerical results indicate that the proposed receiver outperforms all prior impulsive noise OFDM decoders with improvements that reach 13dB when compared to the commonly used DFT receiver.

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Last Updated 11/25/13.