MUSIC Direction of arrival estimation method with virtual source elimination for single vector sensor under isotropic ambient noise background

In the scenario of isotropic ambient noise, the inequality between the noise powers of the pressure and velocity channels of a single vector acoustic sensor dramatically degrades the performance of the MUSIC method. In order to solve this problem, an increased-rank MUSIC method and a weighted-amplitude MUSIC method are presented. The increased-rank MUSIC method augments the dimension of the signal subspace to eliminate the effect of the virtual source. It gains the highest estimation accuracy in the case of one source and a low Signal-to-Noise Ratio (SNR) and its performance approaches to the CRB. However, it fails in the case of two sources. The weighted-amplitude MUSIC method weights the amplitude of the received signal to eliminate the virtual source and it can identify two sources.