• DocumentCode
    1387046
  • Title

    Convolutional encoder state estimation

  • Author

    Vinck, A. J Han ; Dolezal, Petr ; Kim, Young-Gil

  • Author_Institution
    Inst. for Exp. Math., Essen Univ., Germany
  • Volume
    44
  • Issue
    4
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    1604
  • Lastpage
    1608
  • Abstract
    To estimate the convolutional encoder state from received data, one may use the inverse to the encoder G. However, channel errors make this method unreliable. We propose a method that uses the received data in the following way. We calculate the syndrome, and after a specific number of received syndrome values equal to zero, we expect that the corresponding received data is also error-free. The received data is then used to build the inverse and give an estimate for the encoder state. The method can be used in situations where knowledge of the encoder state helps the decoding process or for synchronization purposes. We analyze the performance of the described method with respect to state estimation error probability and the average time it takes before we can estimate the encoder state with a certain desired reliability
  • Keywords
    coding errors; convolutional codes; decoding; error statistics; matrix inversion; probability; state estimation; synchronisation; average time; channel errors; convolutional encoder; decoding; error probability; generator matrix inverse; inverse; performance; received data; reliability; state estimation; synchronization; syndrome; Convolution; Convolutional codes; Decoding; Error correction; Legged locomotion; Multidimensional systems; Notice of Violation; Propulsion; State estimation; Turbo codes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.681338
  • Filename
    681338