• DocumentCode
    616465
  • Title

    Enhanced LTE TOA/OTDOA estimation with first arriving path detection

  • Author

    Ming Huang ; Wen Xu

  • Author_Institution
    Tech. Univ. Munchen, Mϋnchen, Germany
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    3992
  • Lastpage
    3997
  • Abstract
    With increasing importance of location based services, requirements for TOA (time of arrival) and TDOA (time difference of arrival) measurements have been specified in 3GPP LTE Rel. 9 to ensure accurate TIE (user equipment) positioning. In order to meet these requirements, it is vital to accurately estimate the first signal arriving path. This is, however, not trivial, especially in multipath environments. In this work, we describe methods for LTE TOA and TDOA measurements with enhanced first arriving path detection. The conventional maximum likelihood based correlation profile is used as detection metric. After grossly determining the signal region by a moving window, three methods, namely peak detection, SNR based threshold and adaptive threshold based on noise floor and metric peak value are employed to estimate the first arriving path. Simulations results show that the proposed adaptive threshold based method is robust against channel variations and can meet all 3GPP requirements under various multipath channels.
  • Keywords
    Long Term Evolution; maximum likelihood decoding; time-of-arrival estimation; 3GPP LTE Rel. 9; Long Term Evolution; TOA/OTDOA estimation; adaptive threshold based method; detection metric; first arriving path detection; location based services; maximum likelihood based correlation profile; multipath channels; time difference of arrival; time of arrival; user equipment positioning; Accuracy; Bandwidth; Correlation; Interference; Measurement; Signal to noise ratio; LTE positioning; RSTD; TOA; first arriving path detection; observed TDOA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6555215
  • Filename
    6555215