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Updated: May 23, 2026

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

A simple and efficient frequency offset estimation algorithm for high-speed coherent optical OFDM systems.

Xian Zhou¹, Keping Long, Rui Li

¹Institute of Advanced Network Technology and new Services (ANTS), University of Science & Technology Beijing (USTB), No.30 Xue Yuan Road, Haidian, Beijing 100083, China.

|March 29, 2012

Summary

This study introduces a novel frequency offset estimation (FOE) algorithm for high-speed coherent optical OFDM systems. The method efficiently estimates frequency offsets up to ±5GHz using a single training symbol, enhancing system performance.

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Published on: December 15, 2021

Area of Science:

Optical Communications
Signal Processing
Digital Communications

Background:

High-speed coherent optical orthogonal frequency-division multiplexing (CO-OFDM) systems face challenges with frequency offset estimation (FOE).
Accurate FOE is critical for maintaining system performance and minimizing data errors.

Purpose of the Study:

To propose a simple and efficient frequency offset estimation (FOE) algorithm for high-speed CO-OFDM systems.
To analyze the impact of residual frequency offset (RFO) on CO-OFDM systems.
To develop a zero-overhead residual frequency offset estimation (RFOE) algorithm to reduce final estimation error.

Main Methods:

A novel FOE algorithm utilizing a merit function to avoid exhaustive search computations for the integer part of FOE.
Time-domain estimation of frequency offsets within the range of [-5GHz, +5GHz] using a single redesigned training symbol.
Theoretical analysis of residual frequency offset (RFO) influences and development of a zero-overhead RFOE algorithm.

Main Results:

The proposed FOE algorithm successfully estimates frequency offsets in the [-5GHz, +5GHz] range with a single training symbol.
Theoretical analysis quantifies the impact of RFO on CO-OFDM systems.
A new zero-overhead RFOE algorithm is presented to further minimize estimation errors.

Conclusions:

The developed FOE and RFOE algorithms are feasible and effective for high-speed CO-OFDM systems.
Simulations in a 464 Gbit/s PDM 16-QAM CO-OFDM system validate the proposed algorithms.
The algorithms contribute to improved performance in advanced optical communication systems.