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On a Different Perspective and Approach to Implement Adaptive Normalized BP-based Decoding for LDPC Codes

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https://ir.library.oregonstate.edu/concern/articles/kd17cv091

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  • In this paper, we propose an improved version of the min-sum algorithm for low density parity check (LDPC) code decoding, which we call “adaptive normalized BP-based” algorithm. Our decoder provides a compromise solution between the belief propagation and the min-sum algorithms by adding an exponent offset to each variable node’s intrinsic information in the check node update equation. The extrinsic information from the min-sum decoder is then adjusted by applying a negative power of two scale factor, which can be easily implemented by right shifting the min-sum extrinsic information. The difference between our approach and other adaptive normalized min-sum decoders is that we select the normalization scale factor using a clear analytical approach based on underlying principles. Simulation results show that the proposed decoder outperforms the min-sum decoder and performs very close to the BP decoder, but with lower complexity.
  • Keywords: modified min-sum, belief propagation, sum product, min-sum, LDPC codes, iterative decoding
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  • Poocharoen, P.; Magaña, M.E., "Different perspective and approach to implement adaptive normalised belief propagation-based decoding for low-density parity check codes," Communications, IET , vol.6, no.15, pp.2314,2325, October 16 2012 doi: 10.1049/iet-com.2011.0792
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  • 6
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  • 15
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