Development of a Testbed for Multisensor Distributed Decision Algorithms.

Abstract

Distributed decision problems arise when two or more sensors viewing the same phenomenon must work cooperatively to draw inferences about the observed situation. Typical examples are in target detection and target classification. Such problems are characterized by distributed processing of information and communication between processors over a limited bandwidth data link. This thesis presents some statistical distributed decision algorithms and describes the implementation of one of them on a set of loosely coupled multiprocessor clusters which simulate the distributed environment characterizing multisensor decision problems. Keywords include: Distributed Decision Processing; Computer Network; Microcomputer Clusters; Process Synchronization; and Network Communication. (Theses)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA164487

Entities

People

  • Mark A. Schon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Classification
  • Computer Networks
  • Computer Programs
  • Computer Science
  • Computers
  • Data Links
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Local Area Networks
  • Operating Systems
  • Pattern Recognition
  • Recognition
  • United States

Readers

  • Computer Networking
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms