Noise Adaptive LDPC Decoding Using Particle Filtering

@article{Wang2011NoiseAL,
  title={Noise Adaptive LDPC Decoding Using Particle Filtering},
  author={Shuang Wang and Lijuan Cui and Samuel Cheng and Yan Zhai and Mark B. Yeary and Qiang Zheng},
  journal={IEEE Transactions on Communications},
  year={2011},
  volume={59},
  pages={913-916}
}
Belief propagation (BP) is a powerful algorithm to decode low-density parity check (LDPC) codes over additive white Gaussian noise (AWGN) channels. However, the traditional BP algorithm cannot adapt efficiently to the statistical change of SNR in an AWGN channel. This paper proposes an adaptive scheme that incorporates a particle filtering (PF) algorithm into the BP based LDPC decoding process. The proposed scheme is capable to perform online estimation of time-varying SNR at the bit-level and… CONTINUE READING
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