INVESTIGATION OF OPTICAL TRANSMITTER AND RECEIVER SYSTEMS IN ARTIFICIAL INTELLIGENCE

This paper comprehensively investigates the application of artificial intelligence technologies in optical transmitter and receiver systems, as well as their functional characteristics. The increasing demand for high-speed and reliable data transmission in modern telecommunication systems has further enhanced the importance of optical communication systems. These systems are characterized by high transmission speed and low signal loss, as they operate based on the principle of converting electrical signals into optical signals and transmitting them through optical fiber media.

The working principles of optical transmitter and receiver devices, along with their main components and technical characteristics, are analyzed in detail in this paper. At the same time, spectral errors that occur during signal transmission, including dispersion, noise, attenuation, and nonlinear effects, are examined, and their impact on the overall system performance is evaluated.

Particular attention is given to the application of artificial intelligence algorithms for signal processing, automatic error detection, and the optimization of system parameters. The use of machine learning and deep learning methods enables the improvement of signal quality, the reduction of transmission losses, and the implementation of adaptive system control.

Furthermore, simulation models of optical communication systems are developed in the study, and the system behavior is analyzed under various parameters. The simulation results demonstrate that the application of artificial intelligence-based approaches leads to an increase in the signal-to-noise ratio (SNR), a decrease in the bit error rate (BER), and an improvement in overall system stability.

In conclusion, the integration of artificial intelligence technologies into optical transmitter and receiver systems creates significant scientific and technological advancements in the field of communications and serves as one of the key directions in the development of next-generation communication systems.