Experimental study of laser spot tracking for underwater optical wireless communication

Danyang Chen , Zhao Li , Jianping Wang

Optics Express +

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March 5, 2024

View abstract on PubMed

Summary

A new Cam-Kalm algorithm improves laser spot tracking for underwater optical wireless communication (UOWC). This method enhances accuracy and stability, enabling reliable communication links even with movement.

Area Of Science

Optical Engineering
Wireless Communication
Signal Processing

Background

Underwater optical wireless communication (UOWC) systems require robust laser spot tracking.
Existing tracking algorithms face challenges with accuracy, stability, and interference.

Purpose Of The Study

To propose and evaluate a novel laser spot tracking algorithm, Cam-Kalm, for UOWC systems.
To enhance the accuracy, stability, and reliability of laser spot tracking in dynamic underwater environments.

Main Methods

Developed a novel algorithm combining the Kalman filter with the continuously adaptive Meanshift algorithm (Cam-Kalm).
Implemented and tested the Cam-Kalm algorithm in a 2-meter UOWC experimental system using a green laser diode.
Evaluated tracking performance against conventional algorithms, focusing on accuracy, interference resistance, and response time.

Main Results

The Cam-Kalm algorithm demonstrated superior performance compared to conventional methods in tracking accuracy, interference resistance, and response time.
The experimental system successfully established an effective communication link using the Cam-Kalm algorithm.
The system achieved a maximum tracking speed of 20 mm/s within the forward-error-correction (FEC) threshold.

Conclusions

The proposed Cam-Kalm algorithm significantly improves laser spot tracking for UOWC systems.
This enhanced tracking capability is crucial for establishing stable and reliable underwater optical communication links.
The algorithm's performance validates its potential for practical UOWC applications.