Improving source discrimination performance by using an optimized acoustic array and adaptive high-resolution CLEAN-SC beamforming

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Beamforming performance can be improved in two ways: optimizing the location of microphones on the acoustic array and applying advanced beamforming algorithms. In this study, the effects of the two approaches are studied. An optimization method is developed to optimize the location of microphones for an acoustic array used in an open-jet anechoic wind tunnel. Then the benefits of using the optimized array with the recently-developed advanced beamforming algorithm, the High-Resolution (HR) CLEAN-SC algorithm are investigated. The microphone locations were optimized to obtain both good resolution and low side lobe levels. By using the optimized array and applying the HR CLEAN-SC
algorithm, it was found that two closely-spaced sound sources can be resolved in a broad frequency range below the Rayleigh limit. The findings have also been confirmed through experimental validation.
Original languageEnglish
Title of host publicationProceedings of the 7th Berlin Beamforming Conference
Number of pages26
Publication statusPublished - 2018
Event7th Berlin Beamforming Conference - Berlin, Germany
Duration: 5 Mar 20186 Mar 2018
Conference number: 7


Conference7th Berlin Beamforming Conference
Abbreviated titleBeBeC 2018
OtherThe objective of the conference is to contribute to the development of beamforming methods with respect to the localization and quantification of sound sources. In addition, the conference provides a platform for the presentation and discussion of practical results from a wide range of specific implementations.
Beamforming with microphone arrays and related techniques have become standard methods in technical acoustics, proven by an ever increasing number of publications at various acoustic conferences. The methods are used in the highly complex field of aero-acoustics, for the sound source localization on moving vehicles, in technical plants and machinery including the automotive industry. A number of companies are offering commercial beamforming systems. At the same time, a large variety of implementations exist in the academic sector as well as tailor-made solutions for special applications. In order to improve the quantitative analysis of the source distributions, inverse methods are becoming increasingly popular.
BeBeC provides a forum for a vivid exchange of experiences and opinions. Both theoretical and practical work receive a platform. Competing institutions and companies are encouraged to participate. Comparisons with other acoustic methods are welcome.
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