Blind Equalization and Fading Channel Signal Recovery of OFDM Modulation

Abstract

Algorithms for blind equalization and data recovery of orthogonal frequency-division multiplexed (OFDM) signals transmitted through fading channels are implemented and simulated in this thesis. The channel is estimated without knowledge of the transmitted sequence (i.e., blindly) using a least mean squares (LMS) adaptive filter and filter bank precoders. This method was used to estimate channel characteristics using both binary and quadrature phase-shift keying signals. Additionally, the method was analyzed for robustness with a poor initial estimate of channel characteristics, with the addition of white Gaussian noise to the signal, and with non-stationary channel conditions. In addition, it is shown that the proposed method is particularly suited in situations with deep fading channels, where some of the subcarriers have a very low SNR. Simulations for both aspects of this thesis were conducted using MATLAB, and the results are presented.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA543123

Entities

People

  • Anthony G. Stranges

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude Modulation
  • Channel Estimation
  • Communication Systems
  • Communications Techniques
  • Frequency
  • Frequency Response
  • Gaussian Noise
  • Modulation
  • Multiple Input Multiple Output
  • Multiplexing
  • Orthogonal Frequency Division Multiplexing
  • Phase Shift
  • Radio Equipment
  • Simulations
  • United States Naval Academy
  • Wireless Communications

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radio communications and signal processing.