rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Maximum likelihood sequence estimation for multipath fading channels
  name:
    name part: Pautler, Joseph James
    name part: 1976-
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 2000
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    form: remote
    extent: x, 73 leaves : illustrations ; 28 cm.
  abstract: This thesis addresses receiver design for multipath fading channels. The channel model was chosen to closely resemble a typical land mobile fading channel. Three receivers will be compared in this work. The first will be the optimum receiver in the maximum-likelihood (ML) sense. The optimum receiver represents the best possible bit error rate achievable. The second receiver will be based on the Expectation-Maximization (EM) algorithm. The EM algorithm is a recursive ML technique that can achieve close to optimal results with reduced complexity. The final receiver considered is the RAKE receiver. The RAKE receiver is a popular receiver structure that is currently being used for multipath fading channels. Simulation results are provided to compare the optimum and EM receivers and the RAKE and EM receivers. Simulations are also used to determine the performance of the EM receiver using different packet lengths and packet structures.
  note: by Joseph James Pautler.
  note: "Major subject: Electrical Engineering".
  note: Vita.
  note: Also available online.
  note: Issued also on microfiche from Lange Micrographics.
  note: M.S. Texas A&M University 2000.
  note: Includes bibliographical references (leaves 61-64).
  subject:
    topic: Major electrical engineering
  identifier: https://hdl.handle.net/1969.1/ETD-TAMU-2000-THESIS-P394
  related item:
    location:
      url: https://hdl.handle.net/1969.1/ETD-TAMU-2000-THESIS-P394
  record info:
    record content source: TXA
    record creation date: 010417
    record change date: 20220103114413.0
    record identifier: in00001609710