Synchronization and Detection of Binary Data in Free-Space Optical Communication Systems using Haar Wavelet Transformation

Abstract

A new method is presented to perform bit synchronization and detection of binary nonreturn-to-zero (NRZ) data from a free-space optical (FSO) communication link. Based on the wavelet transformation, a new bandpass filter is developed and implemented. It is shown that the Haar wavelet is an excellent choice for this purpose. The center frequency of this filter is a function of the scale and could be adjusted to adapt to the variation of the channel. The output of the filter is zero mean and is closely related to the derivative of the binary data. The filter has a linear phase; therefore, its output is used for synchronization and detection of the data. Analysis of the method is presented using Fourier transformation. In addition, adaptive Wiener filtering is utilized to reduce the effect of the additive white Gaussian noise in the data. Simulation experiments are performed and presented using real and synthetic data. The results of the experiments indicate that the Haar wavelet transform and adaptive Wiener filtering are robust and effective tools in dealing with FSO data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA462110

Entities

People

  • Charles Conner
  • G. C. Gilbreath
  • Harris R. Burris Jr.
  • Nader Namazi

Organizations

  • The Catholic University of America

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Bandpass Filters
  • Communication Channels
  • Communication Systems
  • Computer Science
  • Detection
  • Digital Communications
  • Electrical Engineering
  • Engineering
  • Free-Space Optical Communications
  • Frequency
  • Military Research
  • Network Science
  • Optical Communications
  • Quantum Wells
  • Simulations
  • Square Waves

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Radio communications and signal processing.

Technology Areas

  • Space
  • Space - Space Objects