Intrachannel Nonlinearity Compensation by Inverse Volterra Series Transfer Function

Liu, Ling; Li, Liangchuan; Huang, Yuguang; Cui, Kai; Xiong, Qianjin; Hauske, Fabian N.; Xie, Changsong; Cai, Yi

doi:10.1109/jlt.2011.2182038

Cited by 150 publications

(109 citation statements)

References 19 publications

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“…On the other hand, the waveforms of QAM signals are distorted by self-phase modulation (SPM), because the signal power varies according to the transmitted symbols, resulting in a large peak-to average power ratio (PAPR). Some nonlinearity mitigation schemes based on digital signal processing have been investigated, including digital back propagation (DBP) [1,2] and the Volterra series transfer function (VSTF) [3]. However, these methods need an enormous amount of calculations.…”

Section: Introductionmentioning

confidence: 99%

Experimental demonstration of SPM compensation based on digital signal processing using a three-layer neural-network for 40-Gbit/s optical 16QAM signal

et al. 2018

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We experimentally demonstrated a novel nonlinearity mitigation scheme based on digital signal processing using a three-layer neural network (NN). 40-Gbit/s optical 16QAM signal distorted by SPM was compensated, improving EVM values by about 15%. We also performed numerical simulation of the proposed scheme, and confirmed that the experiment agrees with the results of the simulation. We performed 100 times of learning processes to find weight and bias of each neuron. However, we did not observe any serious local minimum. We also investigated the effect of the number of neurons of the NN on the compensation performance. Keywords: digital signal processing, nonlinear distortion, SPM, neural network Classification: Fiber-Optic Transmission for Communications , vol. 46, no. 16, pp. 1140-1141, Aug. 2010. DOI:10.1049/el.2010.1444 L. Liu, L. Li, Y. Huang, K. Cui, Q. Xiong, and F. N. Hauske, "Intrachannel nonlinearity compensation by inverse volterra series transfer function," J. References

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Section: Introductionmentioning

confidence: 99%

Experimental demonstration of SPM compensation based on digital signal processing using a three-layer neural-network for 40-Gbit/s optical 16QAM signal

et al. 2018

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“…Finite impulse response (FIR) filters have been used to compensate for linear distortion caused by, e.g., chromatic dispersion [1], but they cannot be used to compensate for nonlinear distortion. Some methods have been proposed for compensating for nonlinear effects, including digital back propagation (DBP) [2,3], and Volterra series transfer function (VSTF) [4]. However, these methods need an enormous amount of calculations.…”

Section: Introductionmentioning

confidence: 99%

XPM compensation in optical fiber transmission systems using neural-network-based digital signal processing

Owaki

Nakamura

2018

IEICE ComEX

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“…Finite impulse response (FIR) filters have been used to compensate for linear distortion caused by, e.g., chromatic dispersion [1], but they cannot be used to compensate for nonlinear distortion. Some methods have been proposed for compensating for nonlinear effects, including optical phase conjugation (OPC) [2], digital back propagation (DBP) [3,4], and the Volterra series transfer function (VSTF) [5]. However, these methods need an enormous amount of calculations or additional optical/electronic hardware components.…”

Section: Introductionmentioning

confidence: 99%

Compensation of optical nonlinear waveform distortion using neural-network based digital signal processing

Owaki

Nakamura

2017

IEICE ComEX

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We studied a novel nonlinear compensation scheme using digital signal processing based on a neural network (NN). Distortion of 16QAM signals caused by self-phase modulation (SPM) was compensated for by using a three-layer NN without feedback loops. In the scheme, the input layer of the NN has feedforward tapped delay lines. Input signals of I and Q components of the 16QAM signals are fed into the delay lines. The compensated 16QAM signals of the I and Q components are outputted by two neurons in the output layer of the NN. BER and EVM performance was investigated by numerical simulations, and the EVM was improved by more than 20% by the compensation.

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Intrachannel Nonlinearity Compensation by Inverse Volterra Series Transfer Function

Cited by 150 publications

References 19 publications

Experimental demonstration of SPM compensation based on digital signal processing using a three-layer neural-network for 40-Gbit/s optical 16QAM signal

Experimental demonstration of SPM compensation based on digital signal processing using a three-layer neural-network for 40-Gbit/s optical 16QAM signal

XPM compensation in optical fiber transmission systems using neural-network-based digital signal processing

Compensation of optical nonlinear waveform distortion using neural-network based digital signal processing

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