• DocumentCode
    1607433
  • Title

    Multipath detection of stochastic transient processes

  • Author

    Garcia, Francisco M ; Lourtie, Isabel M G

  • Author_Institution
    ISR-Instituto de Sistemas e Robotica, Instituto Superior Tecnico, Lisbon, Portugal
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    178
  • Lastpage
    181
  • Abstract
    This paper reports on the detection of Gaussian stochastic transients in multipath environments described by random parameters. The solutions developed herein correspond to quadratic processors, with low computational cost and robust to changes in the statistical models of the channel. As a consequence, only a small amount of a-priori information is necessary to derive the parameters of the processor. A recursive form of the processor is also proposed, allowing for the recursive detection of the signal replicas arriving at the receiver
  • Keywords
    Gaussian processes; multipath channels; signal detection; statistical analysis; transient analysis; Gaussian stochastic transients; low computational cost; multipath detection; quadratic processors; random parameters; recursive detection; recursive form; sequential detection; signal detection; signal replicas; statistical models; stochastic transient processes; Computational efficiency; Delay effects; Delay estimation; Performance evaluation; Robustness; Signal detection; Signal processing; Signal to noise ratio; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
  • Print_ISBN
    0-7803-7011-2
  • Type

    conf

  • DOI
    10.1109/SSP.2001.955251
  • Filename
    955251