Distributed Detection Theory and Data Fusion

Abstract

This report presents a summary of research results obtained during the course of this grant in the area of distributed signal detection and decision fusion. Specifically, distributed detection and estimation with fuzzy information, intelligent CFAR detection, computational algorithms for system design and BDT based signal classification were considered. A brief discussion of these results is provided here. For more details, the reader is referred to the list of published papers.

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Document Details

Document Type
Technical Report
Publication Date
Dec 21, 1999
Accession Number
ADA374837

Entities

People

  • Pramod Varshney

Organizations

  • Syracuse University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Science
  • Data Fusion
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • False Alarms
  • Information Science
  • Information Theory
  • Mathematical Models
  • Probabilistic Models
  • Probability
  • Signal Detection
  • Signal Processing
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Radar Systems Engineering.
  • Theoretical Analysis.