• DocumentCode
    1607503
  • Title

    Multichannel detection and spatial signature estimation with uncalibrated receivers

  • Author

    Leshem, Amir ; Van der Veen, Alle-Jan

  • Author_Institution
    Dept. Electr. Engineering/DIMES, Delft Univ. of Technol., Netherlands
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    A problem occurring in radio astronomy is the detection and cancellation of spatially correlated interfering signals entering via the sidelobes of the telescopes in an array. A complicating factor is that the noise powers can be different at each telescope. For the case that the sensors are uncalibrated, we formulate the detection problem as a test on the covariance structure, state the GLRT for this problem, and relate it to a simpler ad-hoc detector. We derive algorithms to estimate the noise powers and the subspace of interferer signature vectors. Once the subspace is estimated, the interference can be projected out. We compare this method to the conventional multichannel subspace detector and show its robustness to non-identical channels on data collected with the Westerbork radio telescope
  • Keywords
    covariance matrices; interference suppression; maximum likelihood estimation; parameter estimation; radio receivers; radiotelescopes; signal detection; GLRT detector; MLE; Westerbork radio telescope; ad-hoc detector; algorithms; covariance matrix; covariance structure; multichannel detection; multichannel subspace detector; noise power estimation; radio astronomy; spatial signature estimation; spatially correlated interfering signals cancellation; spatially correlated interfering signals detection; subspace estimation; uncalibrated receivers; uncalibrated sensors; Additive noise; Covariance matrix; Detectors; Interference; Radar detection; Radio astronomy; Receivers; Sensor arrays; Telescopes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
  • Print_ISBN
    0-7803-7011-2
  • Type

    conf

  • DOI
    10.1109/SSP.2001.955254
  • Filename
    955254