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Related Experiment Video

Updated: May 18, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

A complex-weighted, decision-aided, maximum-likelihood carrier phase and frequency-offset estimation algorithm for

Adaickalavan Meiyappan¹, Pooi-Yuen Kam, Hoon Kim

¹Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore.

|October 6, 2012

Summary

This summary is machine-generated.

We developed a new optical receiver estimator for faster, more accurate carrier phase and frequency tracking in digital communication systems. This advanced method improves signal reception, especially for high-speed data transmission.

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Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

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Last Updated: May 18, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Area of Science:

Optical Engineering
Digital Communications
Signal Processing

Background:

Coherent optical receivers are crucial for high-speed data transmission.
Accurate carrier phase and frequency estimation are essential for receiver performance.
Existing methods face limitations in speed and estimation range.

Purpose of the Study:

To introduce a novel complex-weighted, decision-aided, maximum-likelihood (CW-DA-ML) estimator for carrier phase and frequency offset.
To achieve rapid carrier phase and frequency tracking with a wide estimation range.
To evaluate the performance of the CW-DA-ML estimator in terms of speed and accuracy.

Main Methods:

Implementation of a CW transversal filter for carrier reference phasor generation.
On-line adaptation of filter weights using linear regression on observed signals.
Development of a modulo-R reduced frequency offset estimation (FOE) technique.

Main Results:

Achieved a complete modulo-R reduced frequency offset estimation range of ±R/2, independent of modulation format.
Demonstrated rapid carrier phase and frequency tracking.
Showcased frequency offset acquisition speeds over 5 times faster than differential FOE for 4-PSK signals.
Observed a constant ~1 dB penalty at a bit-error rate of 10⁻⁴ for 4-PSK signals across various frequency offsets.

Conclusions:

The CW-DA-ML estimator offers significant improvements in speed and range for carrier phase and frequency offset estimation.
This novel approach enhances the performance of coherent optical receivers, particularly in challenging signal conditions.
The demonstrated performance indicates suitability for advanced digital communication systems.