Off-grid sparse based two-dimensional direction of arrival estimation of acoustic vector sensor array in impulse noise. (October 2022)

• Record Type: Journal Article
• Authors: Liang, Longkai; Shi, Yiran; Shi, Yaowu; Bai, Zhejia; He, Wenchao; Lv, Xuhao
• Other Names: Merino Martinez Roberto guest-editor.; Morata David guest-editor.
• Is Part Of: Noise & vibration worldwide. Volume 53:Number 9/10(2022)
• Page Start: 480
• Page End: 486
• Publication Date: 2022-10
• Subjects: Impulse noise -- 2D DOA -- Acoustic vector sensor -- Sparse recovery -- Off-gird -- Orthogonal matching pursuit; Noise control -- Periodicals; Damping (Mechanics) -- Periodicals; Soundproofing -- Periodicals; Damping (Mechanics); Noise control; Soundproofing; Periodicals; 620.205
• DOI: 10.1177/09574565221128066
• Languages: English
• ISSNs: 0957-4565

Abstract

In order to estimate the direction of arrival (DOA) of acoustic vector sensor, the phased fractional low-order moment (PFLOM) is used to suppress impulse noise. First, based on PFLOM, an off-gird sparse based two-dimensional (2D) DOA estimation model for acoustic vector sensor array is proposed. Then, a three-step alternating iterative Orthogonal Matching Pursuit (OMP) algorithm is introduced to realize the off-grid 2D DOA estimation, and the self-pairing of azimuth and elevation is achieved. Finally, the effectiveness and accuracy of the proposed algorithm under impulse noise and small snapshots are verified by simulation.