One-bit LDPC message passing decoding algorithm based on maximization of mutual information (情報理論)
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概要
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We propose an discrete message passing decoding algorithm for Low-Density Parity-Check (LDPC) codes under Additive White Gaussian Noise (AWGN) channel assumption. The message-passing decoding map is derived by using an optimum quantizer that maximizes mutual information, using the technique of density evolution. We focus on the case of 1-bit messages The new algorithm has comparable error rate compared with the lowest error rate given by the extensively studied group of Weighted Bit-Flipping (WBP) algorithms. In addition, the new algorithm has very low complexity.
- 2011-09-22
著者
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Kurkoski Brian
Dept. Of Inf. And Communications Engineering University Of Electro-communications
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Zou Sheng
University Of Science And Technology Of China (ustc)
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Kurkoski Brian
Dept. Of Information And Communications Engineering University Of Electro-communications Uec
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- One-bit LDPC message passing decoding algorithm based on maximization of mutual information (情報理論)