Welcome to Journal of Beijing Institute of Technology
Volume 28Issue 4
.
Turn off MathJax
Article Contents
Yougen Xu, Junfeng Liu, Zhiwen Liu. Focused Widely Linear Beamforming[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2019, 28(4): 744-749. doi: 10.15918/j.jbit1004-0579.18124
Citation: Yougen Xu, Junfeng Liu, Zhiwen Liu. Focused Widely Linear Beamforming[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2019, 28(4): 744-749.doi:10.15918/j.jbit1004-0579.18124

Focused Widely Linear Beamforming

doi:10.15918/j.jbit1004-0579.18124
  • Received Date:2018-06-15
  • The problem addressed in this paper concerns the extension of widely linear beamforming to the wideband case, developing a wide-focused linear beamformer for the extraction of a wideband second-order (SO) noncircular signal-of-interest (SOI) contaminated by uncorrelated interferences and noise. In the proposed beamformer, the beamforming array observation is first focused to adopt a standard linear minimum variance distortionless response (MVDR) framework. The augmented SOI steering vector then is obtained by estimating the SOI noncircularity parameter with the newly proposed oblique projection with an augmented sparse representation scheme. The covariance matrix of the virtual interference, true interference and noise is further reconstructed using the newly presented complementary spatial spectrum technique. The wideband widely linear spatial filtering is finally realized via MVDR like beamforming. The performance of the proposed beamformer is verified by simulation.
  • loading
  • [1]
    Mayhan J T, Simmons A J, Cummings W C. Wide-band adaptive antenna nulling using tapped delay lines[J]. IEEE Transactions on Antennas and Propagation, 1981, 29(6):923-936.
    [2]
    Liu W. Adaptive wideband beamforming with sensor delay-lines[J]. Signal Processing, 2009, 89(5):876-882.
    [3]
    Godara L C. Application of the fast Fourier transform to broadband beamforming[J]. Journal of the Acoustical Society of America, 1995, 98(1):230-240.
    [4]
    Bucris Y, Cohen I, Doron M A. Bayesian focusing for coherent wideband beamforming[J]. IEEE Transactions on Audio, Speech, and Language Processing, 2015, 20(4):1282-1296.
    [5]
    Chevalier P, Blin A. Widely linear MVDR beamformers for the reception of an unknown signal corrupted by noncircular interferences[J]. IEEE Transactions on Signal Processing, 2007, 55(11):5323-5336.
    [6]
    Chevalier P, Delmas J P, Oukaci A. Optimal widely linear MVDR beamforming for noncircular signals[C]//IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, China, 2009:3573-3576.
    [7]
    Chevalier P, Delmas J P, Oukaci A. Properties, performance and practical interest of the widely linear MMSE beamformer for nonrectilinear signals[J]. Signal Processing, 2014, 97(4):269-281.
    [8]
    Xu D Y, Huang L, Xu X, et al. Widely linear MVDR beamformers for noncircular signals based on time-averaged second-order noncircularity coefficient estimation[J]. IEEE Transactions on Vehicular Technology, 2013, 62(7):3219-3227.
    [9]
    Wang G H, Lie J P, See C M S. A robust approach to optimum widely linear MVDR beamformer[C]//IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, 2012:2593-2596.
    [10]
    Xu D Y, Gong C, Cao S H, et al. Robust widely linear beamforming based on spatial spectrum of noncircularity coefficient[J]. Signal Processing, 2014, 104(11):167-173.
    [11]
    Xu Y G, Ma J Y, Yin B J, et al. Robust widely linear beamforming against look direction error[C]//IEEE International Conference on Radar, Guangzhou, China, 2016:543-547.
    [12]
    Lu Ying. Direction-of-arrival estimation for wideband signals via envelope alignment[D]. Beijing:Beijing Institute of Technology, 2018.(in Chinese)
  • 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 (368) PDF downloads(217) Cited by()
    Proportional views
    Related

    /

      Return
      Return
        Baidu
        map