Algorithms for Distributed Detection Given Waveform Observations.

Abstract

In this report the authors consider the problem of detection using geographically distributed sensors and limited communications. It is assumed that the sensor observations consist of Gaussian processes, the statistics of which depend upon the hypothesis. The cases considered include known and unknown signals corrupted by noise which may be correlated between sensors. A variety of numerical examples are given to illustrate the features of different detection algorithms. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 25, 1982
Accession Number
ADA118538

Entities

People

  • Gregory S. Lauer
  • Nils R. Sandell Jr.

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Data Science
  • Detection
  • Detectors
  • False Alarms
  • Gaussian Noise
  • Gaussian Processes
  • Information Science
  • New England
  • Observation
  • Probability
  • Probability Distributions
  • Random Variables
  • Sensor Networks
  • Signal Processing
  • Statistics

Readers

  • Radar Systems Engineering.
  • Theoretical Analysis.