{"title":"Compressive spherical beamforming based on fast off-grid sparse Bayesian inference","authors":"","doi":"10.1016/j.apacoust.2024.110190","DOIUrl":null,"url":null,"abstract":"<div><p>Compressive spherical beamforming (CSB) with spherical microphone arrays not only inherits the high spatial resolution and strong sidelobe suppression of compressive beamforming but also achieves panoramic acoustic source identification owing to the rotational symmetry of spherical microphone arrays, which is an interesting topic in the field of acoustic source identification. The recent off-grid sparse Bayesian inference-based CSB (OGSBI-CSB) can effectively overcome the basis mismatch of earlier on-grid CSB approaches and shows a higher resolution than the Newtonized orthogonal matching pursuit-based CSB (NOMP-CSB), however, it is severely time-consuming. Therefore, this paper proposes fast OGSBI-CSB (FOGSBI-CSB), which first solves an on-grid CSB model using sparse Bayesian inference to estimate the initial directions of arrival (DOAs), then performs DOA refinement by discretizing the local regions centered on the initial on-grid DOAs into finer grids and searching for candidates that can maximize the cost function, and finally quantifies source strengths utilizing the least squares method. Simulation and experimental results demonstrate that the proposed FOGSBI-CSB could provide a higher resolution than NOMP-CSB and a higher computational efficiency and resolution than OGSBI-CSB.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Acoustics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003682X24003414","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Compressive spherical beamforming (CSB) with spherical microphone arrays not only inherits the high spatial resolution and strong sidelobe suppression of compressive beamforming but also achieves panoramic acoustic source identification owing to the rotational symmetry of spherical microphone arrays, which is an interesting topic in the field of acoustic source identification. The recent off-grid sparse Bayesian inference-based CSB (OGSBI-CSB) can effectively overcome the basis mismatch of earlier on-grid CSB approaches and shows a higher resolution than the Newtonized orthogonal matching pursuit-based CSB (NOMP-CSB), however, it is severely time-consuming. Therefore, this paper proposes fast OGSBI-CSB (FOGSBI-CSB), which first solves an on-grid CSB model using sparse Bayesian inference to estimate the initial directions of arrival (DOAs), then performs DOA refinement by discretizing the local regions centered on the initial on-grid DOAs into finer grids and searching for candidates that can maximize the cost function, and finally quantifies source strengths utilizing the least squares method. Simulation and experimental results demonstrate that the proposed FOGSBI-CSB could provide a higher resolution than NOMP-CSB and a higher computational efficiency and resolution than OGSBI-CSB.
期刊介绍:
Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense.
Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems.
Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.