Photoelectron Counting in Optical Communications.

Abstract

A signal processing theory for photoelectron count signals is described and is applied to design a Wiener filter and a self-adaptive Kalman filter suited to the signal-dependent but uncorrelated noise which results with Poisson statistics. Experimental results using a laboratory optical communications system are described. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1973
Accession Number
AD0762594

Entities

People

  • Bruce C. Lutz
  • L. Paul Bolgiano Jr.

Organizations

  • University of Delaware

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Filters
  • Information Science
  • Interdisciplinary Science
  • Kalman Filters
  • Mathematical Analysis
  • Mathematics
  • Optical Communications
  • Photoelectrons
  • Signal Processing
  • Statistics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Materials Science and Engineering.
  • Nuclear and Radiation Engineering.

Technology Areas

  • Microelectronics