MATLAB Implementation of Broadband Adaptive Beamforming ISM Algorithm

This article presents a MATLAB implementation of the broadband adaptive beamforming ISM algorithm, which is widely employed in wireless communication networks to enhance signal transmission quality and efficiency. The algorithm utilizes an adaptive approach that dynamically adjusts beamforming parameters during signal transmission based on environmental and channel variations to optimize signal reception and transmission. We provide detailed explanations of the algorithm's implementation methodology and procedural steps, accompanied by corresponding MATLAB code segments. The implementation includes key components such as covariance matrix estimation using the cov() function, weight vector calculation through matrix inversion operations, and real-time parameter adaptation using recursive updates. Furthermore, we discuss the algorithm's advantages in handling broadband signals and its limitations regarding computational complexity, along with potential improvement directions and application domains in modern communication systems. The code incorporates frequency-domain processing techniques and includes performance validation through signal-to-interference-plus-noise ratio (SINR) calculations.