Two-Dimensional DOA Estimation Using L-shaped Arrays

In this paper, we investigate several two-dimensional Direction of Arrival (DOA) estimation algorithms utilizing L-shaped sensor arrays. These algorithms have gained significant traction in contemporary research and maintain direct correspondence with recently published articles. We provide comprehensive explanations of their operational principles, including implementation details such as covariance matrix computation, eigenvalue decomposition techniques, and signal subspace extraction methods. The performance characteristics of these algorithms in practical applications are thoroughly analyzed, along with discussions of their computational efficiency through complexity analysis. Furthermore, we examine both advantages and limitations of each approach, suggesting potential enhancements like incorporating spatial smoothing techniques for coherent signal scenarios or implementing root-MUSIC variants for improved resolution. Through detailed code structure descriptions and algorithmic flowcharts, readers will gain profound understanding of these estimation methods, enabling optimized implementation in real-world applications for superior angular estimation accuracy.