A Novel Method for the DOA Estimation of Single Vector Hydrophone based on STMV

Abstract

A full-space unambiguous direction of arrival (DOA) estimation can be achieved by only using one single vector hydrophone. And it provides spatial advantage for solving the DOA estimation. The paper proposes a novel method for DOA estimation of single vector hydrophone based on the steered minimum variance (STMV) algorithm, which applies the STMV algorithm of the array signal processing to the single vector hydrophone. With the 3×1 dimensional steered matrix, the single vector hydrophone not only has the ability of high-resolution DOA estimation, but also improves the robustness of the algorithm and reduces the calculation amount of the algorithm. The simulation data and lake test data are used for experimental verification, and STMV algorithm is compared with the cross-spectrum method and the conventional beamforming (CBF) method. The research results have shown that the STMV algorithm has higher DOA estimation capability, better robustness, and lower computational complexity.