NeaSource Localization and Beamforming in the Spherical Sector Harmonics Domain

被引:1
|
作者
Yadav, Shekhar Kumar [1 ,2 ]
Prasanna, S. R. M. [3 ,4 ]
George, Nithin V. [1 ]
机构
[1] Indian Inst Technol Gandhinagar, Dept Elect Engn, Gandhinagar 382355, India
[2] Tech Univ Munich TUM, Audio Informat Proc Lab, D-80333 Munich, Germany
[3] Indian Inst Informat Technol Dharwad, Dept Data Sci & Artificial Intelligence, Dharwad 580009, India
[4] Indian Inst Technol Dharwad, Dept Elect Elect & Commun Engn, Dharwad 580009, India
关键词
Beamforming; microphone array; MUSIC; MVDR; near-field; source localization; spherical sector harmonics; ACOUSTIC SOURCE LOCALIZATION; MICROPHONE ARRAY; DOA ESTIMATION; FIELD;
D O I
10.1109/JSTSP.2024.3442469
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Three-dimensional arrays can localize sources anywhere in the spatial domain without any ambiguity. Among these arrays, the spherical microphone array (SMA) has gained widespread usage in acoustic source localization and beamforming. However, SMAs are bulky, making them undesirable in applications with space and power constraints. To deal with this issue, arrays with microphones placed only in a sector of a sphere have been developed along with various techniques for localizing far-field sources in the spherical sector harmonics ((SH)-H-2) domain. This work addresses near-field acoustic localization and beamforming using a spherical sector microphone array. We first introduce a representation of spherical waves from a near-field point source in the (SH)-H-2 domain using the orthonormal (SH)-H-2 basis functions. Then, using the representation, we develop an array model for when a spherical sector array is placed in a wavefield created by multiple near-field sources in the (SH)-H-2 domain. We highlight the advantages of the developed array model over the baseline near-field spatial domain array model. Using the developed array model, two algorithms are proposed for the joint estimation of the range, elevation and azimuth locations of near-field sources, namely NF-(SH)-H-2-MUSIC and NF-(SH)-H-2-MVDR. Further, a near-field beamforming algorithm capable of radial and angular filtering in the (SH)-H-2 domain is also presented. Finally, we present the Cramer-Rao Bound (CRB) for range, elevation and azimuth estimation in the (SH)-H-2 domain for near-field sources. The performances of the proposed algorithms are assessed using extensive near-field localization and beamforming simulations and an experiment.
引用
收藏
页码:546 / 560
页数:15
相关论文
共 50 条
  • [1] Source Localization Using Constrained Kalman Beamforming in Spherical Harmonics Domain
    Hu, Rui
    Huang, Qinghua
    2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON), 2013,
  • [2] Near-Field Acoustic Source Localization and Beamforming in Spherical Harmonics Domain
    Kumar, Lalan
    Hegde, Rajesh M.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (13) : 3351 - 3361
  • [3] Optimal beamforming with aliasing cancellation in the spherical harmonics domain
    Jiang, Peihong
    Chu, Zhigang
    Li, Peiran
    Yang, Yang
    Shengxue Xuebao/Acta Acustica, 2022, 47 (06): : 832 - 842
  • [4] Optimal beamforming with aliasing cancellation in the spherical harmonics domain
    JIANG Peihong
    CHU Zhigang
    LI Peiran
    YANG Yang
    ChineseJournalofAcoustics, 2023, 42 (03) : 307 - 321
  • [5] A new insight and improvement on deconvolution beamforming in spherical harmonics domain
    Chu, Zhigang
    Yang, Yongxin
    Yang, Yang
    APPLIED ACOUSTICS, 2021, 177
  • [6] Optimal beamformer design in spherical sector harmonics domain
    Kumari, Deepika
    Kumar, Lalan
    APPLIED ACOUSTICS, 2022, 200
  • [7] Sparse reconstruction methods for wideband source localization in spherical harmonics domain
    Goel, Arun
    Hegde, Rajesh M.
    DIGITAL SIGNAL PROCESSING, 2024, 154
  • [8] COARRAY MANIFOLD SEPARATION IN THE SPHERICAL HARMONICS DOMAIN FOR ENHANCED SOURCE LOCALIZATION
    Yadav, Shekhar Kumar
    George, Nithin, V
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 5038 - 5042
  • [9] S2H Domain Processing for Acoustic Source Localization and Beamforming Using Microphone Array on Spherical Sector
    Kumari, Deepika
    Kumar, Lalan
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 : 1983 - 1994
  • [10] Localization and vector spherical harmonics
    von Brecht, James H.
    JOURNAL OF DIFFERENTIAL EQUATIONS, 2016, 260 (02) : 1622 - 1655