Theoretical and experimental investigation of holographic reconstruction and prediction of multi-source hybrid acoustic field

被引:0
|
作者
BI Chuanxing
机构
关键词
acoustic holography; boundary point; distributed source; acoustic radiation; regularization;
D O I
暂无
中图分类号
TB52 [声学测量];
学科分类号
0804 ;
摘要
Study on a multi-source hybrid acoustic field is very important for nearfield acoustic holography (NAH) to be applied in the practical engineering field. In this paper, two methods based on the distributed source boundary point method (DSBPM) for holographic reconstruction and prediction of multi-source hybrid acoustic field, namely combination method with single surface measurement and combination method with multi-surface measurement, are proposed. Then, an experiment on two coherent speakers is carried out. By comparison of the reconstructed and predicted results and the actual measured results, the validity of the two methods and the superiority of the combination method with multi-surface measurement are proved. Considering the high sensitivity of the reconstructed results to measurement errors, the Tikhonov regularization method is proposed to stabilize the reconstruction procedure and restrict the influence of errors. And then, the optimal reconstructed results can be obtained and the reliability of holographic reconstruction and prediction is assured.
引用
收藏
页码:282 / 299
页数:18
相关论文
共 50 条
  • [31] A Novel Hybrid Algorithm for Source Reconstruction Method in Near-Field Prediction
    Li, Chenxi
    Pang, Jian
    Wu, Qingzhi
    Xu, Yuehang
    INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2025, 38 (02)
  • [32] Theoretical and experimental investigation of acoustic performance of multi-chamber reactive silencers
    Arslan, Hakan
    Ranjbar, Mostafa
    Secgin, Erkan
    Celik, Veli
    APPLIED ACOUSTICS, 2020, 157 (157)
  • [33] Partial field decomposition of multi-source cyclostationary sound field
    Chen, Zhimin
    Zhu, Haichao
    Mao, Rongfu
    APPLIED ACOUSTICS, 2012, 73 (05) : 524 - 528
  • [34] A Hybrid Photovoltaic Power Prediction Model Based on Multi-source Data Fusion and Deep Learning
    Si, Zhiyuan
    Yang, Ming
    Yu, Yixiao
    Ding, Tingting
    Li, Menglin
    2020 IEEE STUDENT CONFERENCE ON ELECTRIC MACHINES AND SYSTEMS (SCEMS 2020), 2020, : 608 - 613
  • [35] Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data
    Shang, Qiang
    Xie, Tian
    Yu, Yang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (17)
  • [36] Holographic reconstruction research on the radiated acoustic field of the underwater vehicle
    Qi, Qian
    Chen, Hang
    Yan, Zhengtong
    Li, Le
    Zhu, Guolei
    OCEANS 2019 - MARSEILLE, 2019,
  • [37] Hybrid reliability analysis of structures with multi-source uncertainties
    Lei Wang
    Xiaojun Wang
    Yong Xia
    Acta Mechanica, 2014, 225 : 413 - 430
  • [38] Multi-source Information Perception and Prediction for Panoramic Videos
    Qu, Chenxin
    Li, Kexin
    Che, Xiaoping
    Chang, Enyao
    Zhang, Zhongwei
    ADVANCES IN COMPUTER GRAPHICS, CGI 2023, PT I, 2024, 14495 : 451 - 462
  • [39] Hybrid reliability analysis of structures with multi-source uncertainties
    Wang, Lei
    Wang, Xiaojun
    Xia, Yong
    ACTA MECHANICA, 2014, 225 (02) : 413 - 430
  • [40] Theoretical and experimental investigation of the distributed source boundary point method for acoustic sensitivity analysis
    Chen, L.-T. (litao_chen@163.com), 1600, Nanjing University of Aeronautics an Astronautics (26):