• DocumentCode
    1483772
  • Title

    Adaptive estimation of transmission distortion in a digital communications channel

  • Author

    Prescott, G.E. ; Hammond, J.L. ; Hertling, D.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., US Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
  • Volume
    36
  • Issue
    9
  • fYear
    1988
  • fDate
    9/1/1988 12:00:00 AM
  • Firstpage
    1070
  • Lastpage
    1073
  • Abstract
    An online nondisruptive time-domain technique is proposed for estimating several important types of linear transmission distortion that commonly occur on line-of-sight digital radio communication channels. This approach uses a system that initially estimates the discrete-pulse response of the communications channel. The amount of amplitude and group-delay distortion present in the estimated channel-pulse response is then determined by iteratively adjusting the coefficients (representing the channel distortion) of a polynomial model of the channel, until the difference between a computed version of the channel-pulse response (from the model), and the measured values of the discrete channel pulse response is minimized. The technique is found to work well for most operating regions of practical interest to digital line-of-sight radio links
  • Keywords
    delays; digital communication systems; estimation theory; polynomials; radio links; adaptive estimation; amplitude; digital communications channel; discrete channel pulse response; discrete-pulse response; group-delay distortion; iterative coefficient adjustment; line-of-sight digital radio communication channels; online nondisruptive time-domain technique; polynomial model; transmission distortion; Adaptive estimation; Amplitude estimation; Communication channels; Computer vision; Digital communication; Distortion measurement; Polynomials; Pulse measurements; Radio link; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.7519
  • Filename
    7519