• DocumentCode
    2106294
  • Title

    Channel identification with Doppler and time shifts using mixed training signals

  • Author

    Xia, Xiang-Gen

  • Author_Institution
    Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
  • Volume
    4
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    2081
  • Abstract
    We present a method to identify channels with both Doppler and time shifts using mixed training signals. The training signals we use consist of two parts, where one part is a constant and the other part is a conventional training signal, such as a pseudo-random signal. These two parts may be separated in either the time or the frequency domain. We provide a necessary and sufficient condition on the channel identifiability in terms of the time and Doppler shifts when the mixed training signals are used. It can be shown that the condition holds almost surely in most cases of interest in practice. Some numerical examples are also presented
  • Keywords
    Doppler shift; digital radio; frequency-domain analysis; identification; land mobile radio; multipath channels; probability; random processes; time-domain analysis; Doppler shift; channel identification; frequency domain; mixed training signals; multipath component; necessary condition; probability analysis; pseudo-random signal; sufficient condition; time domain; time shift; wireless mobile digital communication systems; Additive noise; Data communication; Delay effects; Doppler shift; Engineering profession; Frequency domain analysis; Linear systems; Signal analysis; Signal processing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.681554
  • Filename
    681554