Title: MUSIC-based direction of arrival estimation methods with virtual source elimination for single vector sensor in isotropic ambient noise

Author(s): LIU Aifei; YANG Deseng; SHI Shengguo; ZHU Zhongrui

Affiliation(s): Acoustic Science and Technology Laboratory, Harbin Engineering University; Key Laboratory of Marine Information Acquisition and Security, Ministry of Industry and Information Technology (Harbin Engineering University); College of Underwater Acoustic Engineering, Harbin Engineering University

Abstract: In the scenario of isotropic ambient noise, the inequality between the noise powers of the pressure and velocity channels of a single acoustic vector sensor causes a virtual source for subspace-based methods, which seriously degrades the performance of the conventional multiple signal classification (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. Among the increased-rank, weighted-amplitude, and conventional MUSIC methods, the increased-rank MUSIC method gains the highest estimation accuracy in the cases of one source. Moreover, its performance approaches to the the Cramér-Rao bound (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.