Performance Analysis of DOA Estimation Algorithms Using Physical Parameters in Specific Cases

Recent decades have seen substantial research into analytical performance analysis of direction-of-arrival (DOA) estimation algorithms, revealing various statistical properties. However, many analyses fail to fully uncover insights into performance even for specific cases. This paper presents additional performance analysis of several subspace-based DOA estimation algorithms, using highly compact and simplified mean squared error (MSE) formulas for different algorithms, including an extension to the spatial smoothing scheme. All statistics are expressed in terms of physical parameters, fully revealing the relationships between array structures and DOA estimation performance.