2-D Direction Finding Based on Signal Phase Matching Principle Using an Acoustic Vector-Sensor

A novel 2-dimensional DOA estimation algorithm is proposed based on the signal phase matching (SPM) principle using an acoustic vector-Sensor, which a reference virtual-point is inducted to the center of the vector-sensors for deriving the representation of the time delay equation (TDE) in the SPM principle. Then, according to the TDE and the singular value decomposition (SVD) theory, we can implement the two-dimensional (the azimuth angle and the pitching angle) estimation algorithm of the SVDSPM. It is shown that the standard deviation of directions estimation of lower than 0.7 degrees can be achieved by the presented algorithm, with the vector-sensor size 0.4m and SNR 0dB. Compared with the MUSIC algorithm, the performance of our algorithm is better, especially at low SNR.