Open AccessNon-data-aided and universal cycle slip detection and correction for coherent communication systems
Author(s) -
Yuliang Gao,
Elwin Ha,
Alan Pak Tao Lau,
Chao Lu,
Xiaogeng Xu,
Liangchuan Li
Publication year - 2014
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.22.031167
Subject(s) - computer science , sliding window protocol , optics , residual , algorithm , phase modulation , probability density function , offset (computer science) , modulation (music) , bit error rate , performance metric , phase shift keying , phase noise , control theory (sociology) , physics , mathematics , statistics , artificial intelligence , window (computing) , decoding methods , acoustics , management , control (management) , economics , programming language , operating system
We propose a simple non-data-aided (or unsupervised) and universal cycle slip detection and correction (CS-DC) technique based on locating the minimum of the sliding average of twice estimated phase noise. The CS-DC can be appended to any carrier phase estimation(CPE) technique and is modulation format independent. We analytically derive the probability density function of the CS detection metric and study how the sliding window length and detection threshold affects CS detection performance. Simulation results reveal significant cycle slips reduction for various modulation formats with a residual CS probability of 2 × 10 -7 for single carrier system even in unrealistic highly nonlinear system setups. In addition, we show that a second stage of CS-DC with a different sliding window length can further reduce the cycle slip probability by at least an order of magnitude. We also show that CS-DC is tolerant to inter-channel nonlinearities and residue frequency offset effects. Overall, the proposed CS-DC technique can be used in conjunction to other CS reduction techniques to maximize the ability of CS mitigation in next generation optical transceivers.