Scientific paper ID 2531 : 2024/3

The article designates cognitive radio systems, which rely on the simultaneous operation of multiple signals, as the object of research. Ensuring electromagnetic compatibility among these signals emerges as critically important. The pressing issue addressed in this research is the necessity to reduce interchannel interference, which negatively impacts communication quality and increases energy expenditure. Addressing this problem s the development of new methods to generate signal ensembles with optimized mutual correlation parameters of pseudorandom sequences, considering the dynamic nature of radio frequency environments.

As a result of the research, a method and algorithm were proposed and implemented, allowing for the integrated optimization of these parameters to improve system efficiency. This method involves the use of sequences that minimize energy interaction, thereby reducing interchannel interference. The effectiveness of the developed method is due to its ability to enhance signal detection and decrease noise levels through the application of advanced algorithms, including heuristic and metaheuristic optimizers. Preliminary evaluation of the results demonstrates an increase in interference resistance and an improvement in decoding efficiency compared to traditional systems.

A distinctive feature of the proposed method is its flexibility and unpredictability, which allows for the optimization of signal configurations in varied operational conditions. The method can be applied in fields such as military radar, wireless networks, cognitive radio, and data transmission systems, where such capabilities significantly enhance operational efficiency and security.