• DocumentCode
    3276810
  • Title

    Identifiability of harmonic parameterization in N dimensions

  • Author

    Sidiropoulos, Nicholas D.

  • Author_Institution
    Dept. of ECE, Minnesota Univ., Minneapolis, MN, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    186
  • Abstract
    In 1911, Caratheodory et al. published a result that is a cornerstone of line spectra (harmonic) analysis and modern parametric harmonic retrieval. This result was later popularized by Pisarenko, and is widely known in the spectral analysis community as “Caratheodory´s parameterization”. The uniqueness part of Caratheodory´s result specifies the condition under which one can uniquely recover the frequencies (spectral lines) in a finite sum of one-dimensional harmonics, given a finite set of measurements. The multidimensional case is of interest in a variety of problems, including joint multiuser/multipath carrier offset, angle, and delay estimation, yet the associated model identifiability problem has not been thoroughly addressed. This is the subject of the main theorem in this paper. The proof relies on a previous result regarding the uniqueness of low-rank decomposition of N-way arrays
  • Keywords
    delay estimation; direction-of-arrival estimation; harmonic analysis; multipath channels; multiuser channels; signal detection; spectral analysis; 1D harmonics; Caratheodory´s parameterization; angle estimation; array signal processing; delay estimation; harmonic analysis; harmonic parameterization; joint multiuser/multipath carrier offset estimation; line spectra analysis; low-rank arrays decomposition; model identifiability problem; one-dimensional harmonics; parametric harmonic retrieval; Array signal processing; Azimuth; Delay estimation; Doppler radar; Engineering profession; Frequency estimation; Harmonic analysis; Multidimensional systems; Radar applications; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.936049
  • Filename
    936049