Binary LDPC Codes Decoding Algorithm Based on MRF and FPGA Implementation
Abstract: The improved LDPC
code decoding algorithm mainly refereed to improving decoding performance or
reducing the decoding computation complexity. No matter hard decision or soft
decision LDPC code decoding algorithm, we can get all ring number by one test,
instead of testing each long ring number, after optimizing ring detection
algorithm. We putted forward the application of Gaussian Markov Random Field
model to realize the source parameter estimation, and make logarithmic
likelihood ratio correction of bit sequence received by the channel decoding
end. Joining source residual redundancy information is to increase the decoder
error correction ability. Source estimation adaptive variable cancorrect coefficient,
and it was regulated by error rate. Under the condition that computational
complexityincreasedlittlely, the LDPC code decoding algorithm based on MRF
effectively improved the decodingperformance and implemented the improvement of
LDPC code decoding algorithm .In the end, we realized the decoding algorithm by
using FPGA.
Author: Zhongxun Wang,
Wenqiang Wu
Journal Code: jptkomputergg160030
