Information-Based Distributed Multi-Sensor Multi-Target Tracking

Abstract

As shown in the attached final report this highly successful line of research met the objectives of the grant. Develop scalable solutions to multi-target tracking for large-scale systems. Develop distributed solutions to multi-sensor fusion based on information-theoretic principles. Determine how much information can be exchanged for multi-sensor multi-target tracking systems. The advances in basic research supporting multi-object target tracking produced by the grant have resulted in 6 publications in peer reviewed scientific journals, two publications in peer reviewed conference proceedings, and three additional submitted manuscripts to peer reviewed journals under consideration for publication.

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Document Details

Document Type
Technical Report
Publication Date
May 27, 2022
Accession Number
AD1174959

Entities

People

  • Daniel Clark

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Computational Complexity
  • Data Fusion
  • Detection
  • Detectors
  • Information Theory
  • Multitarget Tracking
  • Probability
  • Probability Distributions
  • Probability Hypothesis Density Filters
  • Sensor Fusion
  • Sensor Networks
  • Signal Processing
  • Statistical Analysis
  • Statistics
  • Target Tracking

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.
  • Technical Research and Report Writing.