26 February 2019 Polarization-based 6 × 6 MIMO transmission over 75 km few-mode multicore fiber using recursive least squares constant modulus algorithm
Hafiz Ahmad Khalid, Rahat Ullah, Bo Liu, Xiang-Jun Xin, Qi Zhang, Qing-Hua Tian, Sibghat Ullah
Author Affiliations +
Funded by: Beijing University of Posts and Telecommunications, National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China, NSFC, Natural Science Foundation of China, National NSFC, National Natural Science Foundation, National Natural Science Foundations of China, National High Technology 863 Program of China, National High-tech R&D Program of China, “863” Program of China, National High Technology Research and Development Program (863), National High-tech R&D Program (863 Program) of China, “863” Project, High Technology Research Development Program of China, High Technology Research and Development Program of China (863 Program), Beijing Nova Program
Abstract
In an optical multiple input multiple output (MIMO) transmission system, mode coupling and mode dispersion have a significant impact on the signal recovery processes at the receiver. We describe a polarization-based MIMO transmission by using mode division multiplexing and polarization division multiplexing over few-mode multicore fiber. We used three optical modes with x-y polarizations for 6  ×  6 MIMO transmission over 75 km length of few-mode multicore fiber at 20 Gbps quadrature phase shift keying signals. Optical MIMO transmission is successfully recovered by using a recursive least squares constant modulus algorithm (RLSCMA). The simulation results show that RLSCMA enhanced the system performance of optical MIMO transmission system by employing sufficient adaptive equalization.
© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2019/$25.00 © 2019 SPIE
Hafiz Ahmad Khalid, Rahat Ullah, Bo Liu, Xiang-Jun Xin, Qi Zhang, Qing-Hua Tian, and Sibghat Ullah "Polarization-based 6 × 6 MIMO transmission over 75 km few-mode multicore fiber using recursive least squares constant modulus algorithm," Optical Engineering 58(2), 020501 (26 February 2019). https://doi.org/10.1117/1.OE.58.2.020501
Received: 1 November 2018; Accepted: 4 February 2019; Published: 26 February 2019
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KEYWORDS
Receivers

Telecommunications

Signal processing

Multiplexing

Polarization

Adaptive optics

Knowledge management

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