Sensor Management for Fighter Applications

Abstract

This report is a summary of research conducted from 1 October 1993 through 30 September 2004 for the project titled Sensor Management for Fighter Applications (SMFA). This project developed techniques for intelligently allocating the sensors onboard a modern military aircraft. It focused on information metrics for balancing the needs of detection, tracking and identification, on a probabilistic representation for assimilating sensed data in a multitarget environment, on machine learning approaches, and on important applications of these technologies. This report is the final written document for this project.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA453788

Entities

People

  • Raj P. Malhorta
  • Stanton H. Musick

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Bayesian Networks
  • Computational Complexity
  • Computational Science
  • Detection
  • Detectors
  • Differential Equations
  • Heuristic Methods
  • Information Science
  • Kalman Filters
  • Machine Learning
  • Monte Carlo Method
  • Multitarget Tracking
  • Target Recognition
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML