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 and issues that only consistent hypotheses are formed and information is not used redundantly. DSNs where the nodes have sensors observing different attributes are also considered. A theory for tracking groups of targets has been developed based on a Bayesian Theory for multitarget tracking. The general approach is used to develop algorithms for tracking with various types of sensors including acoustic. Some simulation results are presented. Keywords include: Distributed sensor networks; Distributed estimation, Distributed multitarget tracking; Information fusion; Group tracking; Distributed system testbed design; Acoustic tracking; and Attribute-based tracking.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA176837

Entities

People

  • C. Y. Chong
  • D. S. Spain
  • Kai-Chi Chang
  • R. P. Wishner
  • S. Mori

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Databases
  • Detectors
  • Information Processing
  • Information Science
  • Multitarget Tracking
  • Operating Systems
  • Pressure Measurement
  • Probability Distributions
  • Random Variables
  • Sensor Networks
  • Signal Processing
  • Target Tracking
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML