Distributed Hypothesis Testing in Distributed Sensor Networks

Abstract

This report presents research results on distributed situation assessment in distributed sensor networks (DSNs). Information fusion algorithms for hypothesis formation and evaluation are presented. The algorithms are based on the concept of an information graph. A theory for tracking groups of targets has been developed based on a Bayesian Theory for multitarget tracking. Finally the representation of knowledge and architecture for a testbed to design and test a DSN are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1984
Accession Number
ADA145434

Entities

People

  • C. Y. Chong
  • Kai-Chi Chang
  • M. R. Fehling
  • R. P. Wishner
  • S. Mori

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Data Association
  • Detection
  • Detectors
  • Information Processing
  • Machine Learning
  • Markov Processes
  • Multitarget Tracking
  • Probability
  • Probability Distributions
  • Random Variables
  • Sensor Networks
  • Stochastic Processes
  • Target Tracking
  • Warning Systems
  • Wireless Sensor Networks

Readers

  • Artificial Intelligence
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML