MATLAB Implementation of Compressed Sensing for DOA Estimation

This article provides a comprehensive discussion of two compressed sensing-based methodologies for Direction of Arrival (DOA) estimation. We explore the implementation of these approaches using maximum likelihood functions, including detailed algorithm explanations and MATLAB code implementation considerations. The examination covers both the advantages and limitations of each method, with particular attention to key computational aspects such as sparse signal reconstruction techniques and optimization algorithms. Additionally, we investigate practical applications of these methods across various scenarios, analyzing their performance characteristics and suitability for different operational environments. Throughout the discussion, we include references to critical MATLAB functions and implementation strategies, such as the use of l1-minimization solvers and sensing matrix construction. By studying this material, you will gain deeper insights into these advanced estimation techniques and learn how to effectively implement them in your own projects through proper code structure and parameter tuning.