Computer Science ›› 2021, Vol. 48 ›› Issue (4): 282-287.doi: 10.11896/jsjkx.200300029

• Computer Network • Previous Articles     Next Articles

MUSIC Beam-forming Method Based on Temporal and Spatial Union Estimation of Noise Subspaces

WANG Si-xiu1, GUO Wen-qiang1, WANG Xiao-jie1,2, ZHANG Chuan-peng3   

  1. 1 School of Cyber Science and Engineering,Xinjiang University of Finance and Economics,Urumqi 830012,China
    2 College of Information Science and Engineering,Xinjiang University,Urumqi 830011,China
    3 Key Laboratory of Five-hundred-meter Aperture Spherical Radio Telescope,Chinese Academy of Sciences,Beijing 100101,China
  • Received:2020-06-24 Revised:2020-05-22 Online:2021-04-15 Published:2021-04-09
  • About author:WANG Si-xiu,born in 1981,master,associate professor.His main research interests include signal processing and so on.(wsx20050315@163.com)
    GUO Wen-qiang,born in 1975,Ph.D,professor.His main research interests include blind signal processing and so on.
  • Supported by:
    Young Scientists Fund of the National Natural Science Foundation of China(11703040) and Scientific Research Program in Universities of Xinjiang Uygur Autonomous Region(XJEDU2017S036,XJEDU2019Y036).

Abstract: Under the case of broadband short pulse,for the instability problem of noise subspaces estimation in frequency domain MUSIC beam-forming,a MUSIC beam-forming method based on temporal and spatial union estimation of noise subspaces is proposed.Firstly,this method constructs the complex analytic data for liner array receiving data in time domain.Then,according to the construction method of time domain augmented data and the spatial sliding motion method,this method stably realizes noise subspaces estimation with shorter data length.Lastly,based on the orthogonal property of noise subspaces,this method obtains the corresponding beam via identity matrix and noise eigenvector.The numerical simulation and measured data processing results show that,compared with the frequency domain MUSIC beam-forming,the new approach reduces the number of snapshots for stably obtaining noise subspace,has better stability and detection performance, and improves the robustness of MUSIC beam-forming in the practical application.

Key words: Broadband short pulse, MUSIC beam-forming, Temporal and spatial union estimation, Time domain complex analytics

CLC Number: 

  • TN911.7
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