• DocumentCode
    942827
  • Title

    Multilinear array manifold interpolation

  • Author

    Schmidt, Ralph O.

  • Volume
    40
  • Issue
    4
  • fYear
    1992
  • fDate
    4/1/1992 12:00:00 AM
  • Firstpage
    857
  • Lastpage
    866
  • Abstract
    Two algorithmic solutions for interpolating between array manifold grid points are presented. The algorithms are for sensor arrays in vector or in scalar wavefields. The algorithms make successful use of the condition that the reciprocal DOA (direction-of-arrival) spectrum is a multilinear function in the small, i.e. over the region of adjacent grid points. Since polarization is a linear parameter subspace, a DOA spectrum can be computed without recourse to the unknown polarizations. Then, vector interpolation is replaced by bivector interpolation to address the radio wavefield case. The approach distinguishes between sensor arrays in scalar wavefields (e.g. acoustic) and those in vector wavefields (e.g. electromagnetic). Since both storage and computational load vary with the reciprocal of the grid spacing or its square, the design relationship between desired accuracy and the required array manifold grid spacing is given
  • Keywords
    interpolation; spectral analysis; EM waves; acoustic waves; algorithms; array manifold interpolation; bivector interpolation; direction-of-arrival; grid spacing; linear parameter subspace; multilinear function; polarization; radio wavefield; reciprocal DOA spectrum; scalar wavefields; sensor arrays; vector interpolation; vector wavefields; Grid computing; Interpolation; Polarization; Position measurement; Sensor arrays; Testing; Transfer functions; Transmitters; Vectors; Voltage;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.127958
  • Filename
    127958