MATLAB Simulation of LMS Algorithm for Smart Antenna Systems

This documentation provides MATLAB simulation source code for implementing the LMS (Least Mean Squares) algorithm in smart antenna systems. The code offers a practical approach to simulate and test the algorithm's behavior, enabling deeper understanding of its working principles and performance characteristics. Key implementation features include adaptive weight updating using the steepest descent method, real-time coefficient adjustment based on error minimization, and convergence analysis capabilities. The algorithm demonstrates applications in adaptive filters and signal processors, particularly useful for beamforming optimization and interference suppression in wireless communications. The MATLAB code includes comprehensive comments explaining each computational step, from input signal processing to weight vector updates using the formula w(n+1) = w(n) + μ*e(n)*x(n), where μ represents the step size parameter. We designed this simulation to help researchers and engineers better understand, apply, and customize the LMS algorithm for various signal processing scenarios.