• DocumentCode
    33735
  • Title

    Basis Construction for Range Estimation by Phase Unwrapping

  • Author

    Akhlaq, Assad ; McKilliam, R.G. ; Subramanian, R.

  • Author_Institution
    Inst. for Telecommun. Res., Univ. of South Australia, Adelaide, SA, Australia
  • Volume
    22
  • Issue
    11
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    2152
  • Lastpage
    2156
  • Abstract
    We consider the problem of estimating the distance, or range, between two locations by measuring the phase of a sinusoidal signal transmitted between the locations. This method is only capable of unambiguously measuring range within an interval of length equal to the wavelength of the signal. To address this problem signals of multiple different wavelengths can be transmitted. The range can then be measured within an interval of length equal to the least common multiple of these wavelengths. Estimation of the range requires solution of a problem from computational number theory called the closest lattice point problem. Algorithms to solve this problem require a basis for this lattice. Constructing a basis is non-trivial and an explicit construction has only been given in the case that the wavelengths can be scaled to pairwise relatively prime integers. In this paper we present an explicit construction of a basis without this assumption on the wavelengths. This is important because the accuracy of the range estimator depends upon the wavelengths. Simulations indicate that significant improvement in accuracy can be achieved by using wavelengths that cannot be scaled to pairwise relatively prime integers.
  • Keywords
    number theory; signal processing; closest lattice point problem; computational number theory; distance estimation; pairwise relatively prime integer; phase unwrapping; range estimation; Estimation; Lattices; Least squares approximations; Receivers; Signal processing algorithms; Wavelength measurement; Zinc; Closest lattice point; phase unwrapping; range estimation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2465153
  • Filename
    7180337