• DocumentCode
    112955
  • Title

    Blind Low Complexity Time-Of-Arrival Estimation Algorithm for UWB Signals

  • Author

    Arias-de-Reyna, Eva ; Murillo-Fuentes, Juan Jose ; Boloix-Tortosa, Rafael

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. of Seville, Seville, Spain
  • Volume
    22
  • Issue
    11
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    2019
  • Lastpage
    2023
  • Abstract
    This letter presents a novel time-of-arrival (TOA) blind estimation technique for ultra wideband energy detection receivers with reduced complexity. The proposed method is blind in the sense that it does not exploit any information about channel or noise power. This new approach is based on a set of approximations of the exact likelihood function (ELF) of the observed energy. Even though these approximations achieve an important reduction of complexity, the shape of the new approximated function is accurate enough compared to the ELF. Application of a threshold to the differential of the approximated log-likelihood function completes the procedure. Simulations show that the performance of the proposed method in terms of the cumulative distribution function of the estimation error approaches that of a method based on the ELF and a genie-aided algorithm with perfect knowledge of the optimal threshold.
  • Keywords
    computational complexity; radio receivers; signal detection; statistical distributions; time-of-arrival estimation; ultra wideband communication; ELF; TOA blind estimation technique; UWB signal; blind low complexity time-of-arrival estimation algorithm; complexity reduction; cumulative distribution function; exact likelihood function; genie-aided algorithm; ultra wideband energy detection receiver; Approximation methods; Estimation; Geophysical measurement techniques; Ground penetrating radar; Noise; Time of arrival estimation; Localization; UWB; ranging; time-of-arrival;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2450999
  • Filename
    7140768