Title :
An SVM-Based Detection for Coherent Optical APSK Systems With Nonlinear Phase Noise
Author :
Yi Han ; Song Yu ; Minliang Li ; Jie Yang ; Wanyi Gu
Author_Institution :
State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
A support vector machine (SVM)-based data detection is proposed for coherent optical fiber amplitude phase-shift keying (APSK) communication systems where the nonlinear phase noise is the main system impairment. The performances of the detection with SVMs are investigated for three different 16-APSK modulation formats. In addition, three transmission scenarios with dispersion being considered or not are adopted to simulate and analyze the performances. Compared with the traditional two-stage maximum-likelihood detection, the SVM conducts detection without the need to know the information of transmission link, and it gains a relatively large improvement in the nonlinear system tolerance, particularly in the high nonlinear regime. Compared with quadrature amplitude modulation (QAM), the 16-APSK system can increase the nonlinear system tolerance by 4.88 dB at BER 1/4 1E - 3.
Keywords :
optical fibre communication; phase noise; phase shift keying; support vector machines; SVM-based detection; coherent optical APSK systems; coherent optical fiber amplitude phase-shift keying communication systems; nonlinear phase noise; nonlinear system tolerance; support vector machine based data detection; Detectors; Dispersion; Nonlinear optics; Optical noise; Phase noise; Quadrature amplitude modulation; Support vector machines; Support vector machine (SVM); amplitude phase-shift keying (APSK); nonlinear phase noise (NLPN);
Journal_Title :
Photonics Journal, IEEE
DOI :
10.1109/JPHOT.2014.2357424