Iterative reweighted atomic norm minimization based two-dimensional multiple-snapshot grid-free compressive beamforming with planar microphone array. Issue 4 (December 2022)

• Record Type: Journal Article
• Authors: Yang, Yang; Chu, Zhigang; Wu, Guijiao
• Is Part Of: Journal of low frequency noise, vibration, and active control. Volume 41:Issue 4(2022)
• Page Start: 1354
• Page End: 1368
• Publication Date: 2022-12
• Subjects: Planar microphone array -- compressive beamforming -- two-dimensional -- multiple snapshot -- grid-free -- iterative reweighted atomic norm minimization; Vibration -- Periodicals; Noise -- Periodicals; Sound -- Periodicals; Damping (Mechanics) -- Periodicals; Damping (Mechanics); Noise; Sound; Vibration; Periodicals; 620.205
• DOI: 10.1177/14613484221104622
• Languages: English
• ISSNs: 1461-3484

Abstract

Compressive beamforming with a planar microphone array can effectively estimate the two-dimensional directions-of-arrival and quantify the strengths of acoustic sources. Due to the superiorities of overcoming the basis mismatch issue of the conventional grid-based method and improving the performance of the single-snapshot grid-free method, the multiple-snapshot grid-free method has become the current research focus. Its existing atomic norm minimization (ANM) based strategy blocks high resolution because it cannot work well for sources with a small separation. This paper commits itself to remedying this drawback. After revealing the cause for this drawback, we present an iterative reweighted ANM (IRANM) approach. Both simulations and experiments demonstrate that compared with the ANM-based two-dimensional multiple-snapshot grid-free compressive beamforming, the IRANM-based one enjoys not only the enhanced resolution but also the stronger denoising ability and the higher identification accuracy.