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Updated: Mar 18, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Published on: March 20, 2017

Low-complexity joint symbol synchronization and sampling frequency offset estimation scheme for optical IMDD OFDM

Zhen Zhang, Qianwu Zhang, Jian Chen

|July 14, 2016

Summary

A novel method simplifies optical OFDM systems by jointly synchronizing symbols and estimating frequency offset using a single training symbol. This approach achieves robust performance even at low received power and offers reduced complexity for practical designs.

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Area of Science:

Optical Communications
Signal Processing
Wireless Communications

Background:

Asynchronous optical systems face challenges in symbol synchronization and frequency offset estimation.
Existing methods often require multiple training symbols or higher complexity.
Efficiently managing these parameters is crucial for reliable data transmission.

Purpose of the Study:

To propose a low-complexity joint scheme for symbol synchronization and SFO estimation.
To evaluate the performance of this scheme in asynchronous optical IMDD OFDM systems.
To demonstrate its effectiveness using numerical simulations and experimental validation.

Main Methods:

Development of a joint symbol synchronization and SFO estimation algorithm.
Utilizing a single training symbol for efficiency.
Performance evaluation through numerical simulations and experimental setups.

Main Results:

Robust and precise symbol synchronization and SFO estimation achieved simultaneously.
Effective performance demonstrated at received optical power as low as -20dBm.
High SFO estimation accuracy (MSE < 1 × 10^-11) maintained over a wide range (-60ppm to 60ppm) after 25km SSMF transmission.
Optimal system performance sustained with fewer than 50 employed frames for calculation.
Significantly lower operational complexity compared to existing methods.

Conclusions:

The proposed joint scheme offers a practical and efficient solution for asynchronous optical OFDM systems.
It enables reliable performance under challenging low-power conditions.
The reduced complexity and high accuracy provide valuable insights for future system designs.