Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition.

ABSTRACT: Against the backdrop of the rapid development of wireless communication technology, the complex signal interference issues in the electromagnetic spectrum environment have become a key factor affecting the quality and reliability of signal transmission. Existing solutions, such as traditional interference suppression techniques that rely on static spectrum allocation and fixed interference patterns, are no longer able to adapt to the rapidly changing electromagnetic environment and face computational complexity challenges when processing large amounts of real-time data. This study proposes an intelligent anti-interference algorithm that combines deep neural networks and game theory, and constructs a model based on near-end strategy optimization. By extracting and processing signal features

SUBMITTER: Zhao H 

PROVIDER: S-EPMC12021182 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature