• DocumentCode
    2078335
  • Title

    Preprocessing by eigenbeams and Doppler filters to improve performance of detection of signal number

  • Author

    Takahashi, Ryuhei ; Hirata, Kazufumi ; Maniwa, Hisakazu

  • Author_Institution
    Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kamakura
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    388
  • Lastpage
    392
  • Abstract
    In this paper, a preprocessing by spatial eigenbeamforming and coherent Doppler filtering for improving detection performance of signal number for highly-correlated signals in low SNR condition is proposed for radar system with digital beamformer. The proposed method utilizes that all of highly-correlated target signals exist in one specific Doppler bin with different Doppler frequency. In this method, eigenbeams from target covariance matrix are formed followed by coherent Doppler filtering with DFT for SNR improvement prior to signal number detection such as MDL. Evaluation of proposed preprocessing with MDL by computer simulation showed higher performance compared with conventional MDL. Quantitatively required SNR is reduced by approximately 7 dB compared with conventional MDL when 50% of probability of correct signal number detection is specified for two closely-spaced targets scenario.
  • Keywords
    Doppler radar; array signal processing; eigenvalues and eigenfunctions; signal detection; spatial filters; Doppler filters; coherent Doppler; detection performance; digital beamformer; eigenbeams; highly-correlated signals; preprocessing; radar system; signal number detection; spatial eigenbeamforming; target covariance matrix; Filtering; Filters; Radar antennas; Radar detection; Radar signal processing; Signal detection; Signal processing; Signal processing algorithms; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074431
  • Filename
    5074431