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Low-complexity carrier phase estimation for M-ary quadrature amplitude modulation optical communication based on dichotomy
Author(s) -
Xu Yan,
Changqing Cao,
Wenrui Zhang,
Xiaodong Zeng,
Zhouming Feng,
Zengyan Wu,
Xiyuan Su,
Ting Wang
Publication year - 2020
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.394330
Subject(s) - quadrature amplitude modulation , qam , computer science , computational complexity theory , algorithm , modulation (music) , amplitude , phase (matter) , optical communication , phase modulation , optics , amplitude modulation , quadrature (astronomy) , compensation (psychology) , amplitude and phase shift keying , bit error rate , telecommunications , physics , phase noise , frequency modulation , bandwidth (computing) , psychology , decoding methods , quantum mechanics , acoustics , psychoanalysis
In high-speed optical communication, the blind phase search (BPS) algorithm performs carrier phase estimation better but with higher computational complexity (CC), bringing a larger computational burden to the digital signal processing unit. In this paper, a new low-complexity CPE algorithm (DBPS) is proposed for M-ary quadrature amplitude modulation (M-QAM) formats. It uses the BPS algorithm to estimate the compensation phase interval, before using dichotomy to quickly and accurately determine the compensation phase value. Simulation results show the CC (multiplication / addition) of DBPS is reduced by 2.79 / 2.84 (16-QAM), 5.35 / 5.45 (64-QAM), and 2.98 / 3.01 (128-QAM) than that of BPS, and DBPS has a smaller phase tracking error variance. DBPS can relax the limitation of optical communication rate caused by high-speed data operations.

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