Application of Kalman filter in frequency offset estimation for coherent optical quadrature phase-shift keying communication system

Wen Jiang; Yanfu Yang; Qun Zhang; Yunxu Sun; Kangping Zhong; Xian Zhou; Yong Yao

doi:10.1117/1.OE.55.9.096102

Application of Kalman filter in frequency offset estimation for coherent optical quadrature phase-shift keying communication system

Wen Jiang, Yanfu Yang, Qun Zhang, Yunxu Sun, Kangping Zhong, Xian Zhou, Yong Yao

Research output: Journal article publication › Journal article › Academic research › peer-review

14 Citations (Scopus)

Abstract

The frequency offset estimation (FOE) schemes based on Kalman filter are proposed and investigated in detail via numerical simulation and experiment. The schemes consist of a modulation phase removing stage and Kalman filter estimation stage. In the second stage, the Kalman filters are employed for tracking either differential angles or differential data between two successive symbols. Several implementations of the proposed FOE scheme are compared by employing different modulation removing methods and two Kalman algorithms. The optimal FOE implementation is suggested for different operating conditions including optical signal-to-noise ratio and the number of the available data symbols.

Original language	English
Article number	096102
Journal	Optical Engineering
Volume	55
Issue number	9
DOIs	https://doi.org/10.1117/1.OE.55.9.096102
Publication status	Published - 1 Sept 2016

Keywords

frequency offset estimation
Kalman filter
optical communications
quantum phase-shift keying

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/1.OE.55.9.096102

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title = "Application of Kalman filter in frequency offset estimation for coherent optical quadrature phase-shift keying communication system",

abstract = "The frequency offset estimation (FOE) schemes based on Kalman filter are proposed and investigated in detail via numerical simulation and experiment. The schemes consist of a modulation phase removing stage and Kalman filter estimation stage. In the second stage, the Kalman filters are employed for tracking either differential angles or differential data between two successive symbols. Several implementations of the proposed FOE scheme are compared by employing different modulation removing methods and two Kalman algorithms. The optimal FOE implementation is suggested for different operating conditions including optical signal-to-noise ratio and the number of the available data symbols.",

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AU - Jiang, Wen

AU - Yang, Yanfu

AU - Zhang, Qun

AU - Sun, Yunxu

AU - Zhong, Kangping

AU - Zhou, Xian

AU - Yao, Yong

PY - 2016/9/1

Y1 - 2016/9/1

N2 - The frequency offset estimation (FOE) schemes based on Kalman filter are proposed and investigated in detail via numerical simulation and experiment. The schemes consist of a modulation phase removing stage and Kalman filter estimation stage. In the second stage, the Kalman filters are employed for tracking either differential angles or differential data between two successive symbols. Several implementations of the proposed FOE scheme are compared by employing different modulation removing methods and two Kalman algorithms. The optimal FOE implementation is suggested for different operating conditions including optical signal-to-noise ratio and the number of the available data symbols.

AB - The frequency offset estimation (FOE) schemes based on Kalman filter are proposed and investigated in detail via numerical simulation and experiment. The schemes consist of a modulation phase removing stage and Kalman filter estimation stage. In the second stage, the Kalman filters are employed for tracking either differential angles or differential data between two successive symbols. Several implementations of the proposed FOE scheme are compared by employing different modulation removing methods and two Kalman algorithms. The optimal FOE implementation is suggested for different operating conditions including optical signal-to-noise ratio and the number of the available data symbols.

KW - frequency offset estimation

KW - Kalman filter

KW - optical communications

KW - quantum phase-shift keying

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JO - Optical Engineering

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Application of Kalman filter in frequency offset estimation for coherent optical quadrature phase-shift keying communication system

Abstract

Keywords

ASJC Scopus subject areas

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