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Proceedings Paper

Adaptive channel estimation for soft decision decoding over non-Gaussian optical channel
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Paper 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.

Paper Details

Date Published: 7 October 2016
PDF: 7 pages
Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 990208 (7 October 2016); doi: 10.1117/12.2262328
Show Author Affiliations
Jing-song Xiang, Chongqing Univ. of Posts and Telecommunications (China)
Tao-tao Miao, Chongqing Univ. of Posts and Telecommunications (China)
Sheng Huang, Chongqing Univ. of Posts and Telecommunications (China)
Huan-lin Liu, Chongqing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9902:
Fourth International Conference on Wireless and Optical Communications
Maode Ma, Editor(s)

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