کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11023951 | 1701218 | 2018 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A nonlinear ANN equalizer with mini-batch gradient descent in 40Gbaud PAM-8 IM/DD system
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
We propose and validate a novel nonlinear artificial neural network (ANN) equalizer for PAM-8 transmission in IM/DD system. Mini-batch gradient descent is introduced to efficiently train ANN equalizer. Using the proposed ANN equalizer, we successfully transmit a 40Gbaud PAM-8 signal over 4-km SMF with BER under the threshold of 3.8â¯Ãâ¯10â3 and over 10-km SMF with BER under the threshold of 1â¯Ãâ¯10â2. We also elaborately compare the proposed ANN equalizer with other methods including LMS equalizer, Volterra equalizer and look-up table (LUT). Experimental results indicate that ANN achieves the best performance that is slightly superior to Volterra equalizer with computational complexity half reduced. To the best of our knowledge, this is the first time to adopt mini-batch gradient descent to train ANN equalizer in IM/DD system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optical Fiber Technology - Volume 46, December 2018, Pages 113-117
Journal: Optical Fiber Technology - Volume 46, December 2018, Pages 113-117
نویسندگان
Pengqi Gou, Jianjun Yu,