Communication Signal Enhancement Algorithm in Low SNR and Complicated Environment

This research presents a novel communication signal enhancement algorithm tailored for the low signal-to-noise ratio (SNR) scenarios in satellite communications. Departing from traditional linear processing, the algorithm exploits the bistable nature of stochastic resonant systems and exploits their nonlinear effects to enhance signals and suppress noise. Key optimizations include antenna system revisions, adjustments to improve signal coverage and strength, and strategic manipulation of electromagnetic wave emission positions. Collectively, these refinements address the challenges in mobile communication signals caused by multipath effects and transmission limitations, thereby advancing the development of wireless communication technology. The effectiveness of the proposed algorithm is demonstrated through a comprehensive review of recent advances in communication systems and systematic experiments that validate its performance in various scenarios. This innovative approach, encapsulated within a wireless communication system framework, promises to overcome SNR challenges in satellite communications, paving the way for improved signal quality in complex environments.