Abstract

In this paper, we study the effects of different ASE noise models on the performance of turbo code (TC) decoders. A soft-decoding algorithm,the Bahl, Cocke, Jelinek, and Raviv (BCJR) decoding algorithm <citegrp><citeref rid="ref1], is generally used in the TC decoders. The BCJR algorithm is a maximum a posteriori probability (MAP) algorithm, and is very sensitive to the noise statistics. The Gaussian approximation of the ASE noise is widely used in the study of optical-fiber communication systems [2"type="ref"></citeref><citeref rid="ref3"type="ref"></citeref><citeref rid="ref4"type="ref"></citeref> <citeref rid="ref5"type="ref"></citeref><citeref rid="ref6"type="ref"></citeref> <citeref rid="ref7"type="ref"></citeref><citeref rid="ref8"type="ref"></citeref> </citegrp>, and there exist standard TCs for additive white Gaussian noise (AWGN) channels. We show that using a MAP decoding algorithm based on the Gaussian noise assumptions, however, may significantly degrade the TC decoder performance in an optical-fiber channel with non-Gaussian ASE noise. To take full advantage of TC, the accurate noise statistics in optical-fiber transmissions should be used in the MAP decoding algorithm.

[IEEE ]

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