Modified channel-independent weighted bit flipping decoding algorithm for low-density-parity-check codes

In this study, a modified channel-independent weighted bit flipping (CIWBF) decoding algorithm is proposed for low-density-parity-check codes. This modification, based on the ‘additive offset term adjustment’ in the reliability of the check sum, can also be applied to the reliability ratio weighted...

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Vydané v:IET communications Ročník 8; číslo 6; s. 833 - 840
Hlavní autori: Zhang, Gaoyuan, Zhou, Liang, Wen, Hong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Stevenage The Institution of Engineering and Technology 01.04.2014
John Wiley & Sons, Inc
Predmet:
additive offset term adjustment
additive white Gaussian noise channel
Additives
Algorithms
AWGN channels
Channels
channel‐independent weighted bit flipping decoding algorithm
check sum reliability
Computer simulation
Decoding
Gaussian
low‐density‐parity‐check codes
modified CIWBF decoding algorithm
Noise
Noise levels
parity check codes
reliability
reliability ratio weighted bit flipping algorithm
AWGN channels
check sum reliability
reliability ratio weighted bit flipping algorithm
parity check codes
low-density-parity-check codes
additive white Gaussian noise channel
reliability
channel-independent weighted bit flipping decoding algorithm
decoding
modified CIWBF decoding algorithm
additive offset term adjustment
ISSN:1751-8628, 1751-8636
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Popis
Shrnutí:In this study, a modified channel-independent weighted bit flipping (CIWBF) decoding algorithm is proposed for low-density-parity-check codes. This modification, based on the ‘additive offset term adjustment’ in the reliability of the check sum, can also be applied to the reliability ratio weighted bit flipping algorithm. Simulation results show that the performance of the author's improved modified CIWBF algorithm is better than that of CIWBF algorithm about 0.45 dB at bit-error rate of 10−5 over an additive white Gaussian noise channel without much complexity increase.
Bibliografia:SourceType-Scholarly Journals-1
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ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2013.0753