Adaptive Interference Suppression Method for Circular Arrays

This paper explores an adaptive interference suppression method designed for circular arrays. The implementation typically involves calculating complex weight vectors using adaptive algorithms like LMS (Least Mean Squares) or RLS (Recursive Least Squares) to optimize signal-to-interference ratio. The method generates adaptive beam patterns that can be visualized through multiple projection plane diagrams and 3D representations in both Cartesian and polar coordinate systems. These visualizations help researchers better understand the working principles of circular arrays and provide valuable insights for practical applications. The algorithm's effectiveness has been validated in real-world scenarios, demonstrating strong interference suppression capabilities in specific environments. Key functions include spatial filtering and covariance matrix computation for optimal pattern synthesis. This validation gives us greater confidence and motivation to continue in-depth research in this field.