A new probability decoding scheme based on genetic algorithm for FEC codes in optical transmission systems |
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| Authors: | Yuan Jian-guo Wang Lin He Qing-ping Li Hao and Wang Yong |
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| Affiliation: | State Key Laboratory of Information Photonics and Optical Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;Key Lab. of Optical Fiber Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Key Lab. of Optical Fiber Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Key Lab. of Optical Fiber Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Key Lab. of Optical Fiber Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China |
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| Abstract: | Based on the genetic algorithm (GA), a new genetic probability decoding (GPD) scheme for forward error correction (FEC) codes in optical transmission systems is proposed. The GPD scheme can further offset the quantification error of the hard decision by making use of the channel interference probability and statistics information to restore the maximal likelihood transmission code word. The theoretical performance analysis and the simulation result show that the proposed GPD scheme has the advantages of lower decoding complexity, faster decoding speed and better decoding correction-error performance. Therefore, the proposed GPD algorithm is a better practical decoding algorithm. |
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