MATLAB Code for Adaptive Beamforming (Smart Antenna) Simulation

This documentation presents a MATLAB simulation program for adaptive beamforming (smart antenna) technology. Adaptive beamforming is an advanced signal processing technique that employs smart antenna systems to dynamically shape radiation patterns. The MATLAB implementation demonstrates how the algorithm automatically adjusts antenna directionality based on varying signal environments and target positions, optimizing both signal reception and transmission performance. The simulation code includes key functions for calculating weighting coefficients using algorithms like LMS (Least Mean Squares) or RLS (Recursive Least Squares), incorporating array signal processing techniques for interference suppression. Users can utilize this program to simulate beamforming patterns under different signal scenarios, evaluate system performance through metrics like array gain and SINR (Signal-to-Interference-plus-Noise Ratio), and optimize parameters through Monte Carlo simulations. The code structure features modular design with separate functions for array geometry setup, covariance matrix estimation, and beamformer weight computation. This MATLAB simulation serves as a practical tool for understanding adaptive beamforming principles and applications in wireless communication systems.