Estimation of 2-D DOA joint frequency of signal via a single vector hydrophone

Abstract

Based on a single vector hydrophone, two sub-matrix of the same formation which formed signal data matrix was constructed by delayed time data. On the basis of LS-ESPRIT, the signal data matrix was decomposed by one eigenvalue decomposition to get its eigenvalues and corresponding eigenvectors, which included the information of frequency and angle, so two-dimensional DOA and frequency joint estimation was realized for narrow-band signal. This method had better estimation accuracy, which didn't need any search procedure, the three-dimensional parameter matching was automatically achieved by this method. Compare with DOA matrix method via a single vector hydrophone and LS-ESPRIT method via acoustic pressure array by MATLAB, the results showed that this method have better estimation performance.