• DocumentCode
    780703
  • Title

    False alarm probability-based estimation of multipath channel length

  • Author

    Lomi, Valentina ; Tonetto, Daniele ; Vangelista, Lorenzo

  • Author_Institution
    Telit Mobile Terminals S.p.A., Padova, Italy
  • Volume
    51
  • Issue
    9
  • fYear
    2003
  • Firstpage
    1432
  • Lastpage
    1434
  • Abstract
    A multipath channel length estimation algorithm is proposed. It consists basically of estimating all path delays using a threshold comparison-based criterion. The threshold is obtained by imposing a fixed false alarm probability on the detection of each path delay. Assuming that the shortest delay is normalized to be equal to zero, the longest one is then selected to provide the desired length estimate. The threshold is analytically derived under the hypothesis that the channel impulse response (channel IR) estimate is corrupted by additive white Gaussian noise. Simulation results are presented for Universal Mobile Telecommunication System-time division duplex; they show that the proposed algorithm affords a detector performance very close to the case when the channel IR length is a priori known.
  • Keywords
    3G mobile communication; AWGN; cellular radio; channel estimation; delay estimation; multipath channels; probability; time division multiplexing; transient response; UMTS-TDD; Universal Mobile Telecommunication System-time division duplex; additive white Gaussian noise; channel impulse response; false alarm probability; mobile cellular radio; multipath channel length estimation algorithm; path delay estimation; threshold comparison; Additive white noise; Algorithm design and analysis; Baseband; Delay estimation; Demodulation; Gaussian noise; Information retrieval; Infrared detectors; Land mobile radio cellular systems; Multipath channels;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2003.816974
  • Filename
    1231637