Optical Signal Processing Model for High-Capacity Aerospace Communication Channels Using Particle Swarm Optimization

Abstract

Aerospace optical communications have become an effective tool in the backup of high speed and high data transmission in contemporary satellite, airborne and space communication systems. The growing need of providing quality communication where bandwidth is fully used demands sophisticated optical signal processing methods that are able to reduce the transmission errors and enhance the efficiency of communication in the dynamic aerospace channel environment. Nevertheless, traditional aerospace communication systems often have attenuated signals, turbulent atmosphere, noise interference and high Bit Error rate (BER), complicating the quality of communication and compromising the performance during general transmission. This study seeks to overcome these shortcomings by developing a Particle Swarm Optimization (PSO)-based optical signal processing model to operate in highcapacity aerospace communication channels. The framework proposed will apply optical signal preprocessing, adaptive channel optimization and intelligent parameter tuning to enhance the reliability of signal transmission and reduce communication errors. PSO algorithm is used to optimize signal processing parameters by evaluating the fitness in the form of BER minimization with the help of iterative evaluation. The suggested model was modeled in MATLAB and Opti System environment with different aerospace communication conditions. The measures used to assess performance were; BER, Signal-to-Noise Ratio (SNR), throughput, latency and spectral efficiency. It was experimentally investigated that the suggested PSO-based framework greatlyminimized BER and enhanced signal quality and transmission stability in comparison to the traditional optical communication systems. The framework also outperformed with better SNR in an environment with dynamic channel conditions, higher throughput as well as an improved use of bandwidth. The combined results affirm that the optical signal processing model under consideration is an efficient and scalable architecture that can be used in the future in the aerospace communication systems that demand high capacity and reliability optical data transmission.