An ML-based Detector for Optical Communication in the Presence of Nonlinear Phase Noise
Paper in proceeding, 2011

We present a closed-form maximum likelihood-based data detection algorithm for long-haul optical channels with dominant nonlinear phase noise induced by self-phase modulation. The closed-form detector is evaluated in terms of symbol error rate as a function of input power, and compared with other sub-optimal detectors as well as a non-parametric detector. We show that the performance of the detector deteriorates for high input power levels, resulting in an optimal operation region. We also provide insights into the behavior of the detector in the highly nonlinear regime.

Author

Ahmet Serdar Tan

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Henk Wymeersch

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Pontus Johannisson

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Erik Agrell

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Peter Andrekson

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Magnus Karlsson

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

IEEE International Conference on Communications

15503607 (ISSN)

Art. no. 5962741- 5962741
978-1-61284-233-2 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

DOI

10.1109/icc.2011.5962741

ISBN

978-1-61284-233-2

More information

Latest update

4/20/2022