• DocumentCode
    3541562
  • Title

    Analytical characterization of the MPDR-based power estimators in snapshot scarce regime

  • Author

    Pajovic, Milutin ; Preisig, James C. ; Baggeroer, Arthur B.

  • Author_Institution
    M.I.T./W.H.O.I., Cambridge, MA, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    808
  • Lastpage
    811
  • Abstract
    The Minimum Power Distortionless Response (MPDR) beamformer processes the input signal such that the output power is minimized and the signal arriving from a look direction is undistorted. The sample spatial correlation matrix, estimated from snapshots of the received signal, plays a central role in the calculation of MPDR array weights and the estimate of the received signal power from the desired look direction. When the number of available snapshots and the number of array sensors are of similar order, the true and estimated correlation matrices might differ significantly. This paper presents analytical characterization of the MPDR-based power estimators in the snapshot scarce regime and when diagonal loading is used. In this effort, some results from the theory of large dimensional random matrices are exploited. The derived characterizations are validated via simulations.
  • Keywords
    array signal processing; direction-of-arrival estimation; matrix algebra; MPDR array weights; MPDR-based power estimators; array sensors; diagonal loading; direction-of-arrival estimation; large dimensional random matrices; minimum power distortionless response beamformer process; received signal; received signal power estimation; sample spatial correlation matrix; snapshot scarce regime; Arrays; Correlation; Eigenvalues and eigenfunctions; Load modeling; Loading; Sensors; Vectors; MPDR beamformer; direction of arrival; power estimation; random matrix theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319828
  • Filename
    6319828