Integrated Sensor-Optics Communication System Using Bidirectional Fiber and FSO Channels and Hybrid Deep Learning...

Area of Science:

• Optoelectronics and Communications
• Fiber Optic Sensing Technology
• Artificial Intelligence in Engineering

Background:

• Traditional fiber optic sensing systems often require separate installations for communication and sensing, increasing complexity and cost.
• Free Space Optics (FSO) offers an alternative for communication where fiber installation is challenging due to topography.
• Accurate strain measurement in long-distance fiber Bragg grating (FBG) sensors can be limited by signal overlap and environmental factors.

Purpose of the Study:

• To introduce a novel bidirectional integration approach combining FBG strain sensing with FSO communication.
• To develop and validate a hybrid stacked gated recurrent units and long short-term memory (SGRU-LSTM) model for enhanced strain measurement accuracy.
• To demonstrate a cost-effective, flexible, and reliable solution for long-distance sensing and communication.

Main Methods:

• Implementation of an intensity and wavelength division multiplexer (IWDM) with coarse wavelength division multiplexing (CWDM) for simultaneous signal transmission.
• Development of a bidirectional FBG sensor system integrated with FSO communication.
• Application of a hybrid SGRU-LSTM deep learning model for precise central wavelength detection of FBG signals.

Main Results:

• The integrated system successfully achieved simultaneous optical communication and FOS sensing signal transmission.
• The proposed SGRU-LSTM model demonstrated superior accuracy in detecting the peak wavelength of overlapped FBG sensor signals.
• Extensive experimentation confirmed the reliability and stability of the bidirectional long-distance FBG sensor system.

Conclusions:

• The integration of fiber sensing and FSO communication significantly reduces construction costs by eliminating the need for separate systems.
• The hybrid SGRU-LSTM model enhances the accuracy of strain measurements in complex FBG sensing scenarios.
• This research advances long-distance FBG sensor systems, offering improved transmission, multiplexing, accuracy, survivability, and cost-effectiveness.