Performance Analysis Of Music And ESPRIT Algorithms For Direction-Of-Arrival Estimation On Coprime Arrays

Direction-of-Arrival (DOA) estimation is essential in array signal processing, aiding in pinpointing signal sources in systems such as radar and wireless communication networks. Coprime arrays have attracted interest in this area because they provide additional degrees of freedom (DOFs) while maintaining low hardware requirements due to their sparse sensor configurations. Over time, many algorithms have been developed to enhance these arrays, including popular subspace-based methods like MUSIC and ESPRIT. A comprehensive spectral search is necessary to achieve MUSIC’s renowned precision, but doing so demands additional processing power. In contrast, ESPRIT offers a more efficient, closed-form solution by utilizing the rotational invariance property of the coarray structure. In this study, we compare ESPRIT and MUSIC for DOA estimation using coprime arrays, highlighting their accuracy and processing efficiency under different conditions.