7 October 2016 Adaptive channel estimation for soft decision decoding over non-Gaussian optical channel
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Proceedings Volume 9902, Fourth International Conference on Wireless and Optical Communications; 990208 (2016) https://doi.org/10.1117/12.2262328
Event: Fourth International Conference on Wireless and Optical Communications, 2016, Beijing, China
Abstract
An adaptive priori likelihood ratio (LLR) estimation method is proposed over non-Gaussian channel in the intensity modulation/direct detection (IM/DD) optical communication systems. Using the nonparametric histogram and the weighted least square linear fitting in the tail regions, the LLR is estimated and used for the soft decision decoding of the low-density parity-check (LDPC) codes. This method can adapt well to the three main kinds of intensity modulation/direct detection (IM/DD) optical channel, i.e., the chi-square channel, the Webb-Gaussian channel and the additive white Gaussian noise (AWGN) channel. The performance penalty of channel estimation is neglected.
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Jing-song Xiang, Jing-song Xiang, Tao-tao Miao, Tao-tao Miao, Sheng Huang, Sheng Huang, Huan-lin Liu, Huan-lin Liu, } "Adaptive channel estimation for soft decision decoding over non-Gaussian optical channel", Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 990208 (7 October 2016); doi: 10.1117/12.2262328; https://doi.org/10.1117/12.2262328
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