Implementation of Beamforming for Array Signals using LMS and RLS Algorithms
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Resource Overview
MATLAB implementation of beamforming for array signals using both LMS and RLS algorithms, featuring complete source code with detailed explanations and comments
Detailed Documentation
This program implements beamforming for array signals using both LMS (Least Mean Squares) and RLS (Recursive Least Squares) algorithms in MATLAB. The implementation includes comprehensive MATLAB code along with detailed explanations and comments that help understand the algorithmic principles and implementation process. The LMS algorithm section demonstrates adaptive filtering with gradient descent optimization, while the RLS implementation shows recursive computation with exponential weighting for faster convergence. Through this program, users can gain deeper insights into array signal processing and beamforming mechanisms, including array geometry configuration, weight vector computation, and pattern synthesis. The modular code structure allows for further research and algorithm enhancements, such as parameter tuning and performance comparison between the two adaptive filtering approaches.
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