Beamforming Algorithm Implementation

Beamforming algorithm is a fundamental signal processing technique widely used to enhance the performance of radar and sonar systems. This algorithm optimizes signal direction selection and beam pattern shaping through weighted superposition and phase adjustment of received signals, thereby amplifying target signals while suppressing noise interference. The provided MATLAB implementation includes two core source files: shizhizhen.m demonstrates time-domain beamforming techniques using delay-and-sum operations with configurable steering vectors, while xianliezhen.m implements array signal processing with covariance matrix computation and adaptive weight optimization. These codes illustrate key beamforming components including sensor array geometry setup, direction-of-arrival estimation, and beam pattern visualization. Studying these implementations will provide deeper insights into beamforming principles and practical implementation methodologies. The codebase serves as a valuable resource for research and educational purposes in array signal processing.