• DocumentCode
    3447210
  • Title

    Adaptive pulse compression of orthogonal transmitted waveforms based on MPDR-MWF

  • Author

    Jingjun Li ; Yonghua Jiang ; Bo Dan ; Weiwei Gao

  • Author_Institution
    Dept. of Electron. Inf. Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    1528
  • Lastpage
    1532
  • Abstract
    A new adaptive pulse compression (APC) method has been proposed in this paper in order to restrain the mutual interference of the orthogonal transmitted waveforms. Based on the minimum power distortionless response (MPDR) this method is combined by the generalized sidelobe canceller (GSC) structure and the multistage wiener filter (MWF), which not only does not calculate the covariance matrix of signal samples and its inverse matrix, but also reduces the computational complexity compared with the APC method based on recursive minimum mean-square error (RMMSE) and generalized sidelobe canceller (GSC). Simulation results validate the new technique is more effective than the conventional matched filter (MF), and shows a similar behavior with the RMMSE and GSC algorithms.
  • Keywords
    Wiener filters; computational complexity; covariance matrices; pulse compression; APC method; GSC structure; MPDR-MWF; RMMSE; adaptive pulse compression method; computational complexity; covariance matrix; generalized sidelobe canceller structure; inverse matrix; matched filter; minimum power distortionless response; multistage Wiener filter; mutual interference; orthogonal transmitted waveforms; recursive minimum mean-square error; Covariance matrix; Interference; MIMO radar; Matched filters; Vectors; Wiener filters; APC; MPDR-MWF; computational complexity; orthogonal transmitted waveforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6469903
  • Filename
    6469903