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Research on high performance LDPC decoder

Wen Ji, 32134

Published Jan 1, 2011• 1 citation
OpenAlex

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At the beginning of 60's of last century,Gallager,the student of Shannon,issued the concept and a whole set of method for decoding of LDPC code at the first time in the world.But the LDPC code had not been on the focus of the research with its super performance until the end of the last century,for the improvement of the decoding theory and the development of the computer technology.Nowadays,the LDPC code is developing aiming at high speed and super performance.It studies the(8176,7154) LDPC code in the CCSDS near earth standard,aiming at the exigent demand of the high speed LDPC decoder.This method uses the character of the 1s to enhance the overlapped degree to improve the speed significantly of the decoder by the only change of the processing order of the CNU without any resource increase comparing with the traditional method.The decoder of the CCSDS near earth standard(8176,7154) LDPC code can save computation 10% by this method.And this implementation can also be used to other QC-LDPC codes.
In iterations processing of LLR BP algorithm for LDPC decoding,the computational of check nodes renewal is high;The decoding performance will be reduced,while there are lots of loops in short LDPC codes.According to these problems,a new LLR BP decoding algorithm based on Hybrid Check-Variable offset processing is proposed in this paper.Decrease complexity by adjusting amplitudes of check nodes processing and relativity of variable nodes by adjusting their information.Simulation results show that this improved decoding algorithm,compared with LLR BP algorithm,is consideration to decoding performance of LDPC and computational complexity.
Low-density-parity-check (LDPC) codes have aroused much research interest because of their excellent bit error performance. The behaviour of the iterative LDPC decoders, however, has not been fully investigated at all signal-to-noise ratios (SNRs). By considering the LDPC decoders as high-dimensional nonlinear dynamical systems, we attempt to study the corresponding phase trajectories at different SNR values. By having an in-depth understanding of the decoder behaviour, engineers should be able to design more effective and efficient decoders.