• DocumentCode
    1334258
  • Title

    An iterative quadratic method for high resolution delay estimation with known waveform

  • Author

    Spagnolini, Umberto

  • Author_Institution
    Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
  • Volume
    38
  • Issue
    2
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    1134
  • Lastpage
    1137
  • Abstract
    The iterative delay estimation method is based on its analogy with parameter estimation of sinusoids in correlated noise. It assumes a-priori knowledge of echo waveform, their number, and the structure of the covariance matrix of noise. The advantages of this method are improved resolution as compared to the conventional matched filter approach and convergence, in a few iterations, to maximum likelihood estimate
  • Keywords
    delay estimation; geophysical techniques; radar imaging; radar theory; remote sensing by radar; terrain mapping; a-priori knowledge; covariance matrix; delay estimation; echo waveform; geophysical measurement technique; high resolution; iterative quadratic method; known waveform; land surface; maximum likelihood estimate; noise; radar remote sensing; terrain mapping; Convergence; Delay estimation; Frequency estimation; Iterative methods; Matched filters; Maximum likelihood estimation; Optimization methods; Polynomials; Signal analysis; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.841992
  • Filename
    841992