MATLAB Source Code for Smart Antennas for Wireless Communications

This repository contains the official MATLAB source code companion for the English edition of "Smart Antennas for Wireless Communications." It serves as an instructional resource for researchers beginning their exploration of smart antenna algorithms. The source code provides practical implementations of key smart antenna techniques, including antenna array configuration setups, beamforming algorithms (such as conventional and adaptive beamformers), and adaptive signal processing methods (like LMS and RLS algorithms). Researchers can utilize these code examples to deepen their understanding of smart antenna technology fundamentals and achieve better results in wireless communication applications. The implementation demonstrates how to configure antenna array parameters, calculate beamforming weights, and implement adaptive algorithms for interference suppression. Each module contains commented code explaining the mathematical foundations and practical considerations. These source files also function as a starting point for smart antenna algorithm development. Researchers can modify and optimize the provided code structures to enhance antenna performance metrics such as directivity, signal-to-noise ratio, and interference rejection capabilities. The code architecture allows for easy integration of additional algorithms and performance comparisons. This resource aims to assist newcomers in smart antenna research by providing hands-on coding examples that bridge theoretical concepts with practical implementation skills. The modular design facilitates step-by-step learning of array signal processing techniques commonly employed in modern wireless communication systems.