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Low-Complexity Channel-Likelihood Estimation for Non-Binary Codes and QAM

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5 Author(s)
Guanghua He ; State Key Lab. of Integrated Service Networks, Xidian Univ., Xi''an, China ; Sarkis, G. ; Hemati, S. ; Gross, W.J.
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An approximate channel-likelihood estimation algorithm is introduced for non-binary coded, square quadrature-amplitude-modulated systems. It is shown that the proposed approximation greatly simplifies the calculation of channel-likelihoods and yet provides results close to those based on exact calculations for non-binary low-density parity-check codes over the additive white Gaussian noise channel.

Published in:

Communications Letters, IEEE  (Volume:16 ,  Issue: 6 )