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.

Optical fiber

nonlinear channel

nonlinearity compensation

demodulation

MAP detector.

Författare

Kamran Keykhosravi

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Morteza Esmaeili Tavana

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Erik Agrell

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

IEEE Transactions on Communications

0090-6778 (ISSN)

Vol. 66 7 2994-3005

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Sannolikhetsteori och statistik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1109/TCOMM.2018.2811811

Mer information

Senast uppdaterat

2018-08-15