A Theory for Distributed Signal Detection and Data Fusion

Abstract

This research attempts to develop a fundamental understanding of the issues involved in the design and performance analysis of distributed detection schemes. Such knowledge is currently lacking. This is especially true for cases with statistically dependent observations from sensor to sensor, a practical case on which this research focuses. Some emphasis is being devoted to developing design algorithms and on applications. The goal of these studies is to produce tools and techniques for pressing practical problems. We classify our efforts into four basic areas: properties of dependent observations cases, design algorithms, applications and image fusion.

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Document Details

Document Type
Technical Report
Publication Date
May 16, 2000
Accession Number
ADA377472

Entities

People

  • Rick Blum

Organizations

  • Lehigh University

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Coding
  • Command And Control
  • Computer Science
  • Data Fusion
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Information Theory
  • Mathematics
  • Observation
  • Sensor Networks
  • Signal Detection
  • Signal Processing
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design