Low Frequency Sampling Adaptive Thresholding for Free-Space Optical Communication Receivers with Multiplicative Noise

Abstract

An adaptive thresholding method is presented for optimum detection for optical receivers with large multiplicative noise. The technique uses low frequency sampling of the detected current that enables calculation of the bit means and variances and estimation of the optimum detection threshold. The regime in which this holds is when the sampling frequency is lower than the bit rate but higher than atmospheric turbulence frequency content. Simulations are done with data obtained from the NRL Chesapeake Bay Lasercomm Testbed. The results of simulations comparing BER performance versus sample rate and parameter estimation error will be presented. If the system parameters are characterized in advance with reasonable accuracy, the BER obtained will typically be an order of magnitude improvement over the equal variance threshold (depending on the signal to noise ratio).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA465346

Entities

People

  • A. Reed
  • C. A. Moore
  • H. R. Burris
  • M. Stell
  • M. Suite
  • M. Vilcheck
  • Mindy I. Davis
  • R. Mahon
  • W. Rabinovich
  • W. Scharpf

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Communication Systems
  • Detection
  • Detectors
  • Errors
  • Filters
  • Free-Space Optical Communications
  • Frequency
  • Kalman Filters
  • Military Research
  • Optical Communications
  • Optical Detectors
  • Quantum Wells
  • Sampling
  • Semiconductors
  • Shot Noise
  • Simulations

Readers

  • Radio communications and signal processing.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects