Title
Symbol Flipping Algorithm With Self-Adjustment Strategy for LDPC Codes Over GF(<inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula>)
Abstract
Compared with the non-prediction algorithm, the prediction-based symbol flipping decoding algorithm of non-binary, low-density, parity-check codes over GF( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$q$</tex-math></inline-formula> ) can significantly improve the error performance. To escape from undesirable local maximum, this paper proposes a self-adjustment strategy to redesign the flipping metric. Combined with the prediction mechanism, our proposed algorithm provides a good tradeoff between the complexity and the error correction performance. Simulation results for the additive white Gaussian noise channel and the binary symmetric channel verify the effectiveness of the proposed algorithm.
Year
DOI
Venue
2019
10.1109/TVT.2019.2915802
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Decoding,Prediction algorithms,Measurement,Oscillators,Complexity theory,Reliability,Parity check codes
Binary symmetric channel,Computer science,Symbol,Low-density parity-check code,Gaussian channels,Algorithm,Error detection and correction,Prediction algorithms,Decoding methods,Self adjustment
Journal
Volume
Issue
ISSN
68
7
0018-9545
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Bin Dai144.48
Rongke Liu2124.66
Chen Yu Gao300.34
Zhen Mei422.07