T. Tanimura

Publications107
h-index16
Citations971
Highly Influential Citations36
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Implementation efficient nonlinear equalizer based on correlated digital backpropagation
TLDR
This paper proposes a method for implementation complexity of nonlinear equalizer based on digital backpropagation that overcomes this boundary and improves the efficiency by about four times.
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OSNR monitoring by deep neural networks trained with asynchronously sampled data
TLDR
By using 5-layers DNN trained with 400,000 samples, the DNN successfully estimates OSNR in a 16-GBd DP-QPSK system with minimum prior knowledge.
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A simple digital skew compensator for coherent receiver
A skew compensator is proposed and experimentally demonstrated for coherent front-end, which improved tolerance from ±3 to ±21ps at 0.2dB Q-penalty even with 21,000ps/nm CD and 90ps DGD on 112Gb/s…
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Low complexity digital perturbation back-propagation
TLDR
A novel back-propagation algorithm is proposed based on perturbation analysis to compensate the intra-channel nonlinearity in an experiment of dual polarization QPSK transmission over 1500 km dispersion uncompensated link.
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Coherent in-line substitution of OFDM subcarriers using fiber-frequency conversion and free-running lasers
We propose and demonstrate a coherent optical field superposition between independent laser sources using fiber frequency conversion and investigate its performance in an OFDM scenario with…
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Digital clock recovery algorithm for optical coherent receivers operating independent of laser frequency offset
TLDR
A digital clock recovery algorithm is proposed and its tolerance to at least 5 GHz laser frequency mismatch in a 43 Gb/s DP-RZ-QPSK receiver after 1200 km transmission is demonstrated.
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112 Gb/s DP-QPSK transmission using a novel nonlinear compensator in digital coherent receiver
A novel nonlinear compensation scheme is proposed and demonstrated with 112 Gb/s DP-QPSK format using digital coherent receiver. The Q-improvement by the proposed scheme exceeded 2 dB after 20 span…
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Convolutional neural network-based optical performance monitoring for optical transport networks
TLDR
This work experimentally demonstrates that a CNN can learn an accurate optical signal-to-noise-ratio (OSNR) estimation functionality from asynchronously sampled data right after intradyne coherent detection.
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Data-analytics-based Optical Performance Monitoring Technique for Optical Transport Networks
We experimentally demonstrate that a convolutional neural network (CNN) can acquire an accurate OSNR estimation functionality from asynchronously sampled data right after intradyne coherent…
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Experimental demonstration of a format-flexible single carrier coherent receiver using data-aided digital signal processing
TLDR
It is shown that format-flexible coherent reception of different 28-GBd PDM and 4D modulated signals in WDM transmission experiments over up to 7680 km SSMF can be achieved by using the same resource-efficient digital signal processing algorithms for the equalization of all formats.
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