A hybrid wave superposition method based on particle filter. (15th June 2022)

• Record Type: Journal Article
• Authors: Yang, Chao; Meng, Gang; Guo, Hui; Wang, Yansong; Sun, Lingli
• Is Part Of: Applied acoustics. Volume 194(2022)
• Publication Date: 2022-06-15
• Subjects: Sound source localization -- Sound field reconstruction -- Multiple signal classification -- Wave superposition method -- Particle filter; Acoustical engineering -- Periodicals; Periodicals; 620.2
• DOI: 10.1016/j.apacoust.2022.108806
• Languages: English
• ISSNs: 0003-682X

Abstract

Highlights: PF-HWSM achieves the sound source localization and reconstruction simultaneously. The method solves the inherent shortcomings of the traditional WSM. The equivalent source configuration is more consistent with the actual sound source. The localization and reconstruction accuracy is better than the listed method. Abstract: In the field of acoustic holography, the wave superposition method (WSM) is one of the classical and widely studied algorithms. To improve the accuracy of sound field reconstruction, a hybrid wave superposition method based on particle filter (PF-HWSM) is proposed. The PF-HWSM mainly includes three steps: (1) calculate the initial source virtual trajectory by 3D-BMUSIC with a rotating microphone array; (2) optimize the virtual trajectory and improve the localization accuracy by the particle filter; (3) configure the equivalent sources according to the optimized localization, and reconstruct the sound field by wave superposition method. Two types of simulations are used to provide a systematic parameter analysis of the traditional WSM-based methods and PF-HWSM, and the comparisons prove the superiority of the proposed method. Finally, two types of experiments in an anechoic room verify that the proposed method achieves high-precision reconstruction. The PF-HWSM provides a method for the equivalent sources configuration of WSM, which can effectively improve the accuracy of sound field reconstruction.