Demodulation and Detection Schemes for a Memoryless Optical WDM Channel
Artikel i vetenskaplig tidskrift, 2018

It is well known that matched filtering and sampling (MFS) demodulation together with minimum Euclidean distance (MD) detection constitute the optimal receiver for the additive white Gaussian noise channel. However, for a general nonlinear transmission medium, MFS does not provide sufficient statistics, and therefore is suboptimal. Nonetheless, this receiver is widely used in optical systems, where the Kerr nonlinearity is the dominant impairment at high powers. In this paper, we consider a suite of receivers for a two-user channel subject to a type of nonlinear interference that occurs in wavelength-division-multiplexed channels. The asymptotes of the symbol error rate (SER) of the considered receivers at high powers are derived or bounded analytically. Moreover, Monte-Carlo simulations are conducted to evaluate the SER for all the receivers. Our results show that receivers that are based on MFS cannot achieve arbitrary low SERs, whereas the SER goes to zero as the power grows for the optimal receiver. Furthermore, we devise a heuristic demodulator, which together with the MD detector yields a receiver that is simpler than the optimal one and can achieve arbitrary low SERs. The SER performance of the proposed receivers is also evaluated for some single-span fiber-optical channels via split-step Fourier simulations.


nonlinearity compensation

MAP detector.

Optical fiber

nonlinear channel


Kamran Keykhosravi

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Morteza Esmaeili Tavana

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Erik Agrell

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

IEEE Transactions on Communications

0090-6778 (ISSN)

Vol. 66 7 2994-3005

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Sannolikhetsteori och statistik


C3SE (Chalmers Centre for Computational Science and Engineering)



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