HUANG Qinghua, FENG Jiajun, FANG Yong, “Two-Dimensional DOA Estimation Using One-Dimensional Search for Spherical Arrays,” Chinese Journal of Electronics, vol. 28, no. 6, pp. 1259-1264, 2019, doi: 10.1049/cje.2019.08.009
Citation: HUANG Qinghua, FENG Jiajun, FANG Yong, “Two-Dimensional DOA Estimation Using One-Dimensional Search for Spherical Arrays,” Chinese Journal of Electronics, vol. 28, no. 6, pp. 1259-1264, 2019, doi: 10.1049/cje.2019.08.009

Two-Dimensional DOA Estimation Using One-Dimensional Search for Spherical Arrays

doi: 10.1049/cje.2019.08.009
Funds:  This work was supported by the National Natural Science Foundation of China (No.61571279) and the Shanghai Science and Technology Commission Scientific Research Project of China (No.16010500100).
  • Received Date: 2018-11-22
  • Rev Recd Date: 2019-08-04
  • Publish Date: 2019-11-10
  • A Reduced-dimensional spherical harmonics MUSIC (RD-SHMUSIC) is proposed to solve the problem of high computational complexity of Multiple signal classification (MUSIC) algorithm for Twodimensional (2-D) Direction of arrival (DOA) estimation. The proposed algorithm first expresses the spherical harmonic steering vector as a linear weight of a uniform phase vectors. Via the Lagrange multiplier method, we can get a new search function to estimate elevations. At second step, the algorithm expresses the steering vector in another form, a linear weight of a vector which is constructed by associated Legendre functions. A search function to estimate azimuths can also be obtained. The proposed method only needs One dimensional (1-D) angle search, which means it has a large reduction of computational complexity compared to the traditional Spherical harmonics MUSIC (SHMUSIC). The simulation results show that the accuracy of the proposed method is better than Two-stage decoupled approach (TSDA) algorithm, and has close performance to that of SHMUSIC.
  • loading
  • H. Krim and M.Viberg, "Two decades of array signal processing research:the parametric approach", IEEE Signal Process.Mag., Vol.13, No.4, pp.67-94, 1996.
    K. C. Ho, X. Lu and L. Kovavisaruch, "Source localization using TDOA and FDOA measurements in the presence of receiver location errors:Analysis and solution", IEEE Transactions on Signal Processing, Vol.55, No.2, pp.684-696, 2007.
    J. DiBiase, H. Silverman and M. Brandstein, "Robust localizationin reverberant rooms", in M.Brandstein, D. Ward (Eds.), Microphone Arrays Signal Processing Techniques and Applications, Springer, Heidelberg, Germany, pp.157-180, 2001.
    J.P.Dmochowski, J.Benesty and S. Affes, "Broadband music:Opportunities and challenges for multiple source localization", In Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop on., New Paltz, USA, pp.18-21, 2007.
    C. Blandin, A. Ozerov and E. Vincent, "Multi-source TDOA estimation in reverberant audio using angular spectra and clustering", Signal Processing., Vol.92, No.8, pp.1950-1960, 2012.
    M. Feng, M. He and C. Chen, "2-D DOA estimation using offgrid sparse learning via iterative minimization with L-parallel coprime array", Chinese Journal of Electronics, Vol.27, No.6, pp.1322-1328, 2018.
    T. Qian, W. Cui and Q. Shen, "Sparse reconstruction method for DOA estimation based on dynamic dictionary and negative exponent penalty", Chinese Journal of Electronics, Vol.27, No.2, pp.386-392,2018.
    Q. Huang, G. Zhang and Y. Fang, "DOA estimation using block variational sparse Bayesian learning", Chinese Journal of Electronics, Vol.26, No.4, pp.768-772, 2017.
    R. O. Schmidt, "Multiple emitter location and signal parameter estimation", IEEE Transactions on Antennas and Propagation., Vol.34, No.3, pp.276-280, 1986.
    A. Paulraj, R.Roy, and T. Kailath, "A subspace rotation approach to signal parameter estimation", IEEE Transactions on Signal Processing, Vol.74, No.7, pp.1044-1046, 1986.
    M. Haardt and J. A. Nossek, "Unitary ESPRIT:How to obtain increased estimation accuracy with a reduced computational burden", IEEE Transactions on Signal Processing, Vol.43, No.5, pp.1232-1242, 1995.
    H. Teutsch and W. Kellermann, "Eigen-beam processing for direction-of-arrival estimation using spherical apertures", In Proc.1st Joint Workshop on Hands-Free Speech Communication and Microphone Arrays (HSCMA), Piscataway, USA, pp.c-13-c-14, 2005.
    Q. H. Huang and T.Wang, "Acoustic source localization in mixed field using spherical microphone arrays", EURASIP Journal on Advances in Signal Processing, Vol.90, No.1, pp.1-16, 2014.
    Q. Huang, L. Zhang and Y. Fang, "Two-stage decoupled DOA estimation based on real spherical harmonics for spherical arrays", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.25, No.11, pp.2045-2058, 2017.
    X. Li, S. Yan and X. Ma, "Spherical harmonics MUSIC versus conventional MUSIC", Applied Acoustics, Vol.72, No.9, pp.646-652, 2011.
    F. G. Yan, M. Jin, S. Liu, et al., "Real-valued MUSIC for efficient direction estimation with arbitrary array geometries", IEEE Transactions on Signal Processing, Vol.62, pp.1548-1560, 2014.
    Q. Huang, G. Zhang, L. Xiang, et al, "Unitary transformations for spherical harmonics MUSIC", Signal Processing, Vol.131, pp.441-446, 2017.
    L. Kumar, G. Bi and R. M. Hegde, "The spherical harmonics root-MUSIC", in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP'16), Shanghai, China, pp.3046-3050, 2016.
    B. Rafaely, "Plane-wave decomposition of the pressure on a sphere by spherical convolution", The Journal of the Acoustical Society of America, Vol.116, No.4, pp.2149-2157, 2004.
    Q. Huang, L. Zhang and Y. Fang, "Performance analysis of Lowcomplexity MVDR beamformer in spherical harmonics domain", Signal Processing, Vol.153, pp.153-163, 2018.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (675) PDF downloads(132) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return