• DocumentCode
    109341
  • Title

    New Adaptive Algorithm for Delay Estimation of Sinusoidal Signals With Unknown Frequency

  • Author

    Ghadiri-Modarres, Mohammadali ; Mojiri, Mohsen ; Karimi-Ghartemani, Masoud

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
  • Volume
    64
  • Issue
    9
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    2360
  • Lastpage
    2366
  • Abstract
    A new adaptive scheme for joint time delay and frequency estimation of two sinusoidal signals that are received at two spatially separated sensors is proposed in this paper. The proposed method is based on adding a new mechanism to the existing structure of a second-order generalized integrator. The main feature of the proposed algorithm, which makes it distinguished from some similar works and appealing from a practical viewpoint, is that it does not require any a priori knowledge on the input signal frequency and therefore works at various sampling frequencies. Averaging theory is used to analyze the dynamic behavior of the proposed algorithm. Various simulations are provided to illustrate the effectiveness of the algorithm and to demonstrate the ability of the algorithm to track variations of parameters of the input signals.
  • Keywords
    adaptive signal processing; delay estimation; electric sensing devices; frequency estimation; signal sampling; adaptive algorithm; averaging theory; delay estimation; sampling frequency; second-order generalized integrator; sinusoidal signal; spatially separated sensors; unknown frequency estimation; Delay effects; Delays; Estimation; Frequency estimation; Manifolds; Noise; Time-frequency analysis; Adaptive filter; averaging theory; frequency estimation; second-order generalized integrator (SOGI); sinusoidal signals; time delay estimation; time delay estimation.;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2015.2408794
  • Filename
    7063935