Analysis of the Use of the Mach-Zender Coupler in Demodulating Multiplexed Fiber Optic Signals

Abstract

Fiber optic communications are the future of U.S. Navy shipboard communications. They present tremendous bandwidths with no susceptibility to electro magnetic interference (EMI) and outstanding signal to noise ratios. Current technology uses Wavelength Division Multiplexing (WDM) to allow multiple users on a single fiber simultaneously. The optical filters necessary to demodulate the WDM signal can be expensive. A less costly alternative could be achieved if Hadamard-Walsh Code Shift Keyed (CSK) encoded signals were used. An optical receiver was proposed, using the Mach-Zender coupler, capable of demodulating a Hadamard-Walsh CSK encoded signal. Building on previous work studying the characteristics of the Mach-Zender coupler, a relationship between the probability of bit error and signal-to-noise ratio (SNR) was developed for a single user and a DPSK optical signal. This relationship was then used to develop an understanding of the bit error rate to SNR relationship for a multiple-user CSK optical signal. Using the theoretical performance as a guide, a MATLAB model was then constructed to investigate the sensitivity of the receiver to non-ideal components.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA341210

Entities

People

  • Paul W. Wehner

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Detectors
  • Electrical Engineering
  • Engineering
  • Frequency
  • Frequency Domain
  • Mathematical Models
  • Optoisolators
  • Phase Shift
  • Photodetectors
  • Probability
  • Random Variables
  • Scattering
  • Sensitivity
  • Shot Noise
  • Simulations
  • United States Naval Academy
  • Wavelength Division Multiplexing

Fields of Study

  • Engineering

Readers

  • Optical Fiber Sensing and Electromagnetic Propagation.
  • Radio communications and signal processing.