Reservoir computing-based signal compensation for laser inter-satellite communications.

Area of Science:

• Optical communication
• Signal processing
• Machine learning

Background:

• Inter-satellite communication faces signal degradation from solar radiation, Doppler shift, and vibration.
• Maintaining signal integrity is crucial for reliable data transmission in space.

Purpose of the Study:

• To apply reservoir computing (RC) for mitigating multiple distortion sources in laser inter-satellite communication.
• To experimentally investigate the impact of environmental factors on transmitted signals.
• To demonstrate signal compensation using a single RC module.

Main Methods:

• Introduced reservoir computing (RC) into the laser processing unit.
• Quantified impacts of solar radiation, Doppler frequency shift, and vibration on QPSK signals.
• Implemented signal compensation with an RC module at the receiver.

Main Results:

• Experimental quantification of multi-distortion impacts on QPSK signals.
• Demonstrated successful signal compensation using a single RC module.
• Achieved a maximum 5.59dB signal-to-noise ratio (SNR) improvement with simultaneous distortions.

Conclusions:

• Reservoir computing effectively compensates for multiple distortions in laser inter-satellite communication.
• The intelligent RC approach significantly enhances coherent signal quality in space.
• RC technology offers a viable solution for robust optical inter-satellite links.