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

We propose a novel receiver for orthogonal frequency division multiplexing (OFDM) transmissions in impulsive noise environments. Impulsive noise arises in many modern wireless and wireline communication systems, such as Wi-Fi and powerline communications, due to uncoordinated interference that is mu...

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Vydáno v:	IEEE transactions on signal processing Ročník 62; číslo 6; s. 1576 - 1589
Hlavní autoři:	Nassar, Marcel, Schniter, Philip, Evans, Brian L.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.03.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Channel estimation Channels Coding, codes Complexity theory Computation Decoding Detection, estimation, filtering, equalization, prediction Estimation Exact sciences and technology factor-graphs generalized approximate message passing (GAMP) impulsive noise Information, signal and communications theory iterative receivers Joints Mathematical models Multiplexing Noise OFDM Orthogonal Frequency Division Multiplexing Receivers Signal and communications theory Signal, noise sum-product algorithm Telecommunications and information theory uncoordinated interference Alphabet Performance evaluation Wireless LAN Parameter estimation sum-product algorithm OFDM Bit error rate Wireless telecommunication generalized approximate message passing (GAMP) Background noise Carrier current Credal approach Channel estimation impulsive noise uncoordinated interference Impulse iterative receivers Transmission channel Decoding Algorithm Joint detection Pulse noise Message passing Telecommunication system Orthogonal frequency division multiplexing Signal processing Numerical simulation Thermal noise factor-graphs
ISSN:	1053-587X, 1941-0476
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Popis
Shrnutí:	We propose a novel receiver for orthogonal frequency division multiplexing (OFDM) transmissions in impulsive noise environments. Impulsive noise arises in many modern wireless and wireline communication systems, such as Wi-Fi and powerline communications, due to uncoordinated interference that is much stronger than thermal noise. We first show that the bit-error-rate optimal receiver jointly estimates the propagation channel coefficients, the noise impulses, the finite-alphabet symbols, and the unknown bits. We then propose a near-optimal yet computationally tractable approach to this joint estimation problem using loopy belief propagation. In particular, we merge the recently proposed "generalized approximate message passing" (GAMP) algorithm with the forward-backward algorithm and soft-input soft-output decoding using a "turbo" approach. Numerical results indicate that the proposed receiver drastically outperforms existing receivers under impulsive noise and comes within 1 dB of the matched-filter bound. Meanwhile, with N tones, the proposed factor-graph-based receiver has only O(NlogN) complexity, and it can be parallelized.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2013.2295063