Analysis of Multivariate Sensor Responses in a Surveillance Environment,

Abstract

The purpose of this paper is to develop a methodology for analyzing surveillance sensor signals and to translate this analysis into decision rules. The use of Bayesian statistical techniques provides a powerful tool for a quantitative approach to decision making, especially when the analyst has the opportunity to observe or sample prior to making any judgements. The increased reliance placed on using a variety of sensors as an early warning system on the modern battlefield dictates the use of more sophisticated mathematical methods to digest the information sent by these devices. The most recent example of this has occurred in the Middle East where the presence of a U.S. surveillance team is an integral facet of an interim Egyptian-Israeli settlement. The September 1975 settlement engineered by Kissinger's diplomatic shuttle provided for a U.S. Sinai Field Mission near the Mitla and Giddi Passes to monitor military movements of Israel and Egypt. This force has the potential for providing surveillance of not only the key passes but also of the entire length of the U. S. Buffer Zone, from the Mediterranean Sea to the Gulf of Suez.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1976
Accession Number
ADA026045

Entities

People

  • John D. Howard

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Command And Control
  • Computers
  • Detectors
  • Early Warning Systems
  • Equations
  • Infrared Surveillance
  • Judgment
  • Mediterranean Sea
  • Numerical Analysis
  • Observation
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Side Looking Radar
  • Surveillance
  • Warning Systems

Readers

  • Distributed Systems and Data Platform Development
  • East Asian Political and Security Studies within the Soviet Union
  • International Relations and Conflict Resolution

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy