On the Efficiency of Digital Back-Propagation for Mitigating SOA-Induced Nonlinear Impairments

We study the efficiency and numerical accuracy of two digital backpropagation schemes for post-compensating SOA-induced nonlinear impairments in the context of coherent receivers for advanced modulated formats. While the classical Runge-Kutta numerical techniques provide almost ideal post-compensati...

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Vydané v:	Journal of lightwave technology Ročník 29; číslo 21; s. 3331 - 3339
Hlavní autori:	Ghazisaeidi, A., Rusch, L. A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.11.2011 Institute of Electrical and Electronics Engineers
Predmet:	Advanced modulation formats Applied sciences Backpropagation Bit error rate Circuit properties coherent detection Detection, estimation, filtering, equalization, prediction Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Information, signal and communications theory Integrated optics. Optical fibers and wave guides Mathematical model Modulation, demodulation nonlinear impairments Optical and optoelectronic circuits Optical noise Receivers Sampling, quantization Semiconductor optical amplifiers Signal and communications theory Signal to noise ratio Signal, noise SOA Telecommunications and information theory Performance evaluation Backpropagation Parameter estimation Quadrature amplitude modulation SOA Bit error rate Saturation Receiver nonlinear impairments Runge Kutta method Coherent detection Semiconductor optical amplifiers Advanced modulation formats Backpropagation algorithm Digital filter Accuracy Channel estimation Robustness Sampling Root mean square value
ISSN:	0733-8724, 1558-2213
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Popis
Shrnutí:	We study the efficiency and numerical accuracy of two digital backpropagation schemes for post-compensating SOA-induced nonlinear impairments in the context of coherent receivers for advanced modulated formats. While the classical Runge-Kutta numerical techniques provide almost ideal post-compensation when the receiver sampling time tends to zero, this accuracy diminishes quickly as we approach realistic sampling times. At rates near Nyquist, despite much reduced complexity, our proposed digital filter back propagation technique outperforms Runge-Kutta techniques in terms of root mean square (rms) residual distortion. We quantify rms residual distortion for both methods as sampling time varies. We also examine bit error performance for 16-QAM, as well as the impact of SOA saturation level. We examine robustness to imperfect channel estimation.
ISSN:	0733-8724 1558-2213
DOI:	10.1109/JLT.2011.2165938