• DocumentCode
    1254990
  • Title

    Multipath time delay estimation using regression stepwise procedure

  • Author

    Tze Fen Li

  • Author_Institution
    Dept. of Appl. Math., Chung Hsing Univ., Taichung
  • Volume
    46
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    191
  • Lastpage
    195
  • Abstract
    Consider a multipath signal whose individual signals are deterministic known pulses. Our problem is to estimate the amplitudes and delay times of individual signals. Our main idea is to consider the multipath signal as a multiple regression model where each time sample is considered to be a possible arrival time of a pulse that may not be real. We use the regression stepwise procedure to select true pulses and eliminate the false pulses. By using this procedure, the number of pulses in a multipath signal does not need to be known. The results of a Monte Carlo simulation study with sinusoidal and trapezoidal pulses are presented to demonstrate the accurate estimation of arrival times and amplitudes by the regression stepwise procedure
  • Keywords
    Monte Carlo methods; amplitude estimation; delays; maximum likelihood estimation; multipath channels; spectral analysis; statistical analysis; Monte Carlo simulation study; amplitudes; arrival time; arrival times; delay times; deterministic known pulses; multipath time delay estimation; multiple regression model; regression stepwise procedure; sinusoidal pulses; trapezoidal pulses; Additive noise; Amplitude estimation; Delay effects; Delay estimation; Gaussian distribution; Matched filters; Mathematics; Maximum likelihood estimation; Random variables; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.651213
  • Filename
    651213