Baseband Noise Suppression in Ofdm Using Kalman Filter Metadata

Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.

Title

  • Main Title Baseband Noise Suppression in Ofdm Using Kalman Filter

Creator

  • Author: Rodda, Lasya
    Creator Type: Personal

Contributor

  • Chair: Guturu, Parthasarathy
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Namuduri , Kamesh
    Contributor Type: Personal
  • Committee Member: Buckles, Bill P.
    Contributor Type: Personal

Publisher

  • Name: University of North Texas
    Place of Publication: Denton, Texas
    Additional Info: www.unt.edu

Date

  • Creation: 2012-05

Language

  • English

Description

  • Content Description: As the technology is advances the reduced size of hardware gives rise to an additive 1/f baseband noise. This additive 1/f noise is a system noise generated due to miniaturization of hardware and affects the lower frequencies. Though 1/f noise does not show much effect in wide band channels because of its nature to affect only certain frequencies, 1/f noise becomes a prominent in OFDM communication systems where narrow band channels are used. in this thesis, I study the effects of 1/f noise on the OFDM systems and implement algorithms for estimation and suppression of the noise using Kalman filter. Suppression of the noise is achieved by subtracting the estimated noise from the received noise. I show that the performance of the system is considerably improved by applying the 1/f noise suppression.

Subject

  • Keyword: 1/f Baseband noise
  • Keyword: Kalman filter
  • Keyword: OFDM

Collection

  • Name: UNT Theses and Dissertations
    Code: UNTETD

Institution

  • Name: UNT Libraries
    Code: UNT

Rights

  • Rights Access: public
  • Rights Holder: Rodda, Lasya
  • Rights License: copyright
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights Reserved.

Resource Type

  • Thesis or Dissertation

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc115147

Degree

  • Academic Department: Department of Electrical Engineering
  • Degree Discipline: Electrical Engineering
  • Degree Level: Master's
  • Degree Name: Master of Science
  • Degree Grantor: University of North Texas
  • Degree Publication Type: thesi

Note