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高级波束成形在旋转声源定位中的应用
引用本文:周纬,鲍欢,杨明绥,马威.高级波束成形在旋转声源定位中的应用[J].航空动力学报,2021,36(1):193-204.
作者姓名:周纬  鲍欢  杨明绥  马威
作者单位:上海交通大学机械与动力工程学院,上海200240;上海交通大学燃气轮机与民用航空发动机教育部工程研究中心,上海200240;中国航空发动机集团有限公司沈阳发动机研究所,沈阳110015;上海交通大学航空航天学院,上海200240;上海交通大学燃气轮机与民用航空发动机教育部工程研究中心,上海200240
基金项目:国家科技重大专项(2017-Ⅱ-003-0015)
摘    要:为了使高级波束成形中的函数波束成形、压缩感知波束成形、正交波束成形在旋转声源定位中获得广泛应用,对3种高级波束成形在旋转声源定位中的应用进行了研究,从声源空间分辨率,动态范围以及声源功率积分上与传统旋转波束成形和DAMAS(deconvolution approach for the mapping of acoustic sources)反卷积作对比。仿真与实验结果表明:3种高级波束成形均可以应用到旋转声源定位中,并且均能显著提升旋转声源空间分辨率和动态范围以及拥有较高的计算效率。函数波束成形在低频段的空间分辨率低于DAMAS并且容易产生较高的声源功率积分误差。压缩感知波束成形整体性能与DAMAS相近,并且在低频段的空间分辨率比DAMAS有优势。正交波束成形在低频段容易产生声源定位位置误差,抗干扰能力较弱,并且声源功率积分整体低于DAMAS。 

关 键 词:麦克风阵列  旋转声源定位  函数波束成形  压缩感知波束成形  正交波束成形
收稿时间:2020/4/28 0:00:00

Application of advanced beamforming in rotating sound source localization
ZHOU Wei,BAO Huan,YANG Mingsui,MA Wei.Application of advanced beamforming in rotating sound source localization[J].Journal of Aerospace Power,2021,36(1):193-204.
Authors:ZHOU Wei  BAO Huan  YANG Mingsui  MA Wei
Institution:School of Mechanical Engineering,,Shanghai Jiao Tong University,Shanghai 200240,China;Engineering Research Center of Gas Turbine and Civil Aero Engine,,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China; Shenyang Engine Research Institute,,Aero Engine Corporation of China,Shenyang 110015,China;
Abstract:Functional beamforming, compressive sensing beamforming, and orthogonal beamforming in advanced beamforming have not been widely used in rotating sound source localization. The applications of three above advanced beamforming in rotating sound source localization were studied, and compared with conventional rotating beamforming and deconvolution approach in terms of the spatial resolution, dynamic range and source power integration for the mapping of acoustic sources (DAMAS). The simulation and experiment results showed that the three advanced beamforming can be applied to the rotating sound source localization successfully, and also can significantly improve the spatial resolution and dynamic range of the rotating sound source with higher computation efficiency. The functional beamforming had a lower spatial resolution than DAMAS in the low frequency band and was prone to high source power integration error. The performance of compressive sensing beamforming was closest to DAMAS, and the spatial resolution in the low frequency band was better than DAMAS. Orthogonal beamforming was prone to generate sound source localization position error within the low frequency range, the ability of anti-interference was weak, and source power integration was lower than DAMAS.
Keywords:microphone array  rotating sound source localization  functional beamforming  compressive sensing beamforming  orthogonal beamforming
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