کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7152282 1462376 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Compression computational grid based on functional beamforming for acoustic source localization
ترجمه فارسی عنوان
شبکه محاسباتی فشرده بر مبنای فرمولبندی تابعی برای تعیین منبع صوتی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی
Phased microphone arrays have become a standard technique for acoustic source localization. Compared with beamforming algorithms such as the conventional beamforming, deconvolution approaches such as DAMAS successfully improve the spatial resolution. However deconvolution approaches usually require high computational effort compared to beamforming algorithms. Without optimizing deconvolution algorithm, recently DAMAS with compression computational grid based on the conventional beamforming (denoted by DAMAS-CG2) has reduced computational run time of DAMAS in applications (Ma and Liu, 2017). This paper proposes a novel algorithm that DAMAS with a novel compression computational grid based on an advance beamforming algorithm functional beamforming (denoted by DAMAS-CG3). This new algorithm takes advantages of functional beamforming to obtain large compression ratio. Simulated applications and experimental applications of benchmark test DLR1 show that DAMAS-CG3 is one order of magnitude faster than DAMAS-CG2 in most cases. In addition, the advantage of DAMAS-CG3 compared to DAMAS-CG2 is particularly more obvious with the threshold decreasing. However for some extreme situations that very complicated sources distribute to a larger extent relative to the scanning plane, the advantage of DAMAS-CG3 compared to DAMAS-CG2 may disappear. In order to get a large compression ratio in any application, the authors highly recommend compressing computational grid based on not only conventional beamforming but also functional beamforming, and then choosing the compression grid with larger compression ratio.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Acoustics - Volume 134, May 2018, Pages 75-87
نویسندگان
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