Provided by: University of NV Seismological Lab. & Dept. of Geological Science
Estimating accurately channel noise has significant impact on the performance of channel coding. In this paper, the authors present a low complexity online estimator at the decoder side for Low-Density Parity Check (LDPC) codes over Additive White Gaussian Noise (AWGN) channels with a time-varying noise. The proposed algorithm is obtained by modeling the channel statistic as a Bayesian inference problem on a factor graph. Since BP algorithm cannot adapt efficiently to the statistical change of SNR in an AWGN channel, they apply the Laplace Propagation (LP) algorithm on the proposed algorithm. Through simulations, they show that the proposed algorithm can simultaneously decode LDPC codes and estimate the time-varying SNR at the bit-level, which enhance the BP decoding performance.