
Independent component analysis based channel equalization for 6 × 6 MIMO-OFDM transmission over few-mode fiber
Author(s) -
Zhixue He,
Xiang Li,
Ming Luo,
Rong Hu,
Li Cai,
Ying Qiu,
Songnian Fu,
Qi Yang,
Shaohua Yu
Publication year - 2016
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.009209
Subject(s) - independent component analysis , mimo , channel (broadcasting) , equalization (audio) , transmission (telecommunications) , orthogonal frequency division multiplexing , computer science , electronic engineering , telecommunications , artificial intelligence , engineering
We propose and experimentally demonstrate two independent component analysis (ICA) based channel equalizers (CEs) for 6 × 6 MIMO-OFDM transmission over few-mode fiber. Compared with the conventional channel equalizer based on training symbols (TSs-CE), the proposed two ICA-based channel equalizers (ICA-CE-I and ICA-CE-II) can achieve comparable performances, while requiring much less training symbols. Consequently, the overheads for channel equalization can be substantially reduced from 13.7% to 0.4% and 2.6%, respectively. Meanwhile, we also experimentally investigate the convergence speed of the proposed ICA-based CEs.