Blind Identification of Nonbinary LDPC Codes Using Average LLR of Syndrome a Posteriori Probability

Prevalent adaptive modulation and coding (AMC) techniques can facilitate the flexible strategies subject to the dynamic channel quality. It would be quite intriguing for one to build a blind encoder identification technique without spectrum-efficiency sacrifice for AMC transceivers. In this paper, w...

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Bibliographic Details
Published in:IEEE communications letters Vol. 17; no. 7; pp. 1301 - 1304
Main Authors: Xia, Tian, Wu, Hsiao-Chun
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.07.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Applied sciences
Blind encoder identification
Coding, codes
Detection, estimation, filtering, equalization, prediction
Encoding
Exact sciences and technology
Frequency modulation
Information, signal and communications theory
log-likelihood ratio
Modulation, demodulation
nonbinary low-density parity-check codes
Parity check codes
Radiocommunications
Receivers
Signal and communications theory
Signal, noise
Telecommunications
Telecommunications and information theory
Transceivers
Transmitters
Transmitters. Receivers
Performance evaluation
log-likelihood ratio
Finite field
Monte Carlo method
Blind encoder identification
Quadrature amplitude modulation
Logarithmic function
Coding circuit
Likelihood ratio
Blind identification
nonbinary low-density parity-check codes
Adaptive coding
Transceiver
Posterior probability
Numerical simulation
Error correcting code
Parity check codes
System identification
Adaptive modulation
Modulation coding
Parity check
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary:Prevalent adaptive modulation and coding (AMC) techniques can facilitate the flexible strategies subject to the dynamic channel quality. It would be quite intriguing for one to build a blind encoder identification technique without spectrum-efficiency sacrifice for AMC transceivers. In this paper, we make the first-ever attempt to tackle the blind nonbinary low-density parity-check (LDPC) encoder identification given a predefined encoder candidate set over the Galois field GF(q) for q-ary quadrature amplitude modulation (q-QAM) signals. Our proposed method establishes the log-likelihood ratios (LLRs) of syndrome a posteriori probabilities (APPs), which specify the potential correctness of the underlying parity-check relations, and identifies the nonbinary LDPC encoder leading to the maximum average LLR over the candidate set. Monte Carlo simulation results verify the effectiveness of our proposed new scheme.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2013.051313.130462