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• W1970459556 abstract "Microphone arrays have become a standard technique to localize and quantify source in aeroacoustics. The simplest approach is the beamforming that provides noise source maps with large main lobe and strong side lobes at low frequency. Since a decade, the focus is set on deconvolution techniques such as DAMAS or Clean-SC. While the source map is clearly improved, these methods require a large computation time. In this paper, we propose a sound source localization technique based on an inverse problem with beamforming regularization matrix called Hybrid Method. With synthetic data, we show that the side lobes are removed and the main lobe is narrower. Moreover, if the sound noise source map provided by this method is used as input in the DAMAS process, the number of DAMAS iterations is highly reduced. The Hybrid Method is applied to experimental data obtained in a closed wind-tunnel. In both cases of acoustic or aeroacoustic data, the source is correctly detected. The proposed Hybrid Method is found simple to implement and the computation time is low if the number of scan points is reasonable." @default.
• W1970459556 created "2016-06-24" @default.
• W1970459556 creator A5010442238 @default.
• W1970459556 creator A5068448640 @default.
• W1970459556 creator A5079327353 @default.
• W1970459556 date "2014-12-01" @default.
• W1970459556 modified "2023-09-30" @default.
• W1970459556 title "Inverse problem with beamforming regularization matrix applied to sound source localization in closed wind-tunnel using microphone array" @default.
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• W1970459556 doi "https://doi.org/10.1016/j.jsv.2014.07.028" @default.
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