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Stochastic decoding for LDPC convolutional codes | IEEE Conference Publication | IEEE Xplore

Stochastic decoding for LDPC convolutional codes


Abstract:

Among LDPC codes, LDPC convolutional codes (LDPC-CCs) seem to be more suitable for variable length applications. However, a LDPC-CC decoder is difficult to implement for ...Show More

Abstract:

Among LDPC codes, LDPC convolutional codes (LDPC-CCs) seem to be more suitable for variable length applications. However, a LDPC-CC decoder is difficult to implement for its long latency and large storage usage. The stochastic computation makes the decoding of LDPC-CCs more efficient, but the boundary effect of sliding window causes poor performance. In this paper, a stochastic LDPC-CC decoder with virtual edge compensation as well as decoder architecture is presented. The simulation results based on (491, 3, 6) time-varying LDPC-CC show that under the same signal-to-noise ratio, our proposed decoder could achieve better performance, 60% less decoding latency and 40% storage reduction compared to log-BP decoder with 10 processors.
Date of Conference: 20-23 May 2012
Date Added to IEEE Xplore: 20 August 2012
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Conference Location: Seoul, Korea (South)

References

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