A Feedback Belief Propagation Algorithm for LDPC Convolutional Codes | IEEE Conference Publication | IEEE Xplore

A Feedback Belief Propagation Algorithm for LDPC Convolutional Codes


Abstract:

A feedback belief propagation (BP) decoding algorithm for low-density parity-check convolutional codes is proposed. The proposed algorithm can activate the variable nodes...Show More

Abstract:

A feedback belief propagation (BP) decoding algorithm for low-density parity-check convolutional codes is proposed. The proposed algorithm can activate the variable nodes more efficiently by applying feedback decoding at each decoding iteration. Compared with the on-demand BP algorithm, the proposed algorithm has a doubled convergence speed and causes only about half of the decoding delay at similar error performances without any increase of storage requirement. Simulation results show that the proposed algorithm can offer a good trade-off between the error-correcting performance and the decoding complexity.
Date of Conference: 06-11 July 2008
Date Added to IEEE Xplore: 08 August 2008
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Conference Location: Toronto, ON, Canada

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