Study of Signal Processing Algorithms in Antenna Arrays Based on Heuristic Optimization Methods

The article addresses methods of adaptive signal processing in transmitting antenna arrays to enhance the interference resilience of digital radio links. It examines the usage of heuristic optimization algorithms for forming antenna array patterns considering the directions of signal and interference arrivals. The article presents algorithms of the matrix method for direct calculation of the required antenna pattern and optimization methods based on particle swarm optimization and salp swarm algorithms. To assess the effectiveness of the algorithms, simulations were conducted using a seven-element antenna array as an example. The research results demonstrate the potential for effectively adapting antenna array patterns to various interference conditions. Further research aims to conduct a comparative analysis of algorithm efficiency to determine the most energy-efficient method.