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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Veröffentlicht in:IEEE transactions on signal processing Jg. 62; H. 6; S. 1576 - 1589
Hauptverfasser: Nassar, Marcel, Schniter, Philip, Evans, Brian L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.03.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Beschreibung
Zusammenfassung: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.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2013.2295063