• DocumentCode
    352227
  • Title

    Estimating spatial spectrum with generalized spectral-correlation signal subspace fitting

  • Author

    Jin, Liang ; Yin, Qin-ye ; Yao, Min-li

  • Author_Institution
    Inf. Eng. Inst., Xi´´an Jiaotong Univ., China
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    577
  • Abstract
    A novel DOA estimation method called Generalized Spectral Correlation Signal Subspace Fitting (GSC-SSF) is proposed in this paper, which is applicable in both wide band and narrow band scenarios. Especially, in narrow band cases, the method is capable of enlarging the effective aperture of the sensor array considerably. It is proven herein that several present DOA estimation methods based on cyclostationarity, including SC-SSF, Cyclic MUSIC and Cyclic ESPRIT, are just special cases or approximations of this method. Its effectiveness and generality are also illustrated by simulation results
  • Keywords
    array signal processing; correlation methods; direction-of-arrival estimation; Cyclic ESPRIT; Cyclic MUSIC; DOA estimation method; SC-SSF; cyclostationarity; generalized spectral-correlation signal subspace fitting; narrow band cases; sensor array aperture; simulation results; spatial spectrum estimation; wide band case; Apertures; Direction of arrival estimation; Frequency; Multiple signal classification; Narrowband; Sensor arrays; Signal processing; Signal resolution; Spatial resolution; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-5482-6
  • Type

    conf

  • DOI
    10.1109/ISCAS.2000.858817
  • Filename
    858817