Data Fusion Within a Constrained Communication Environment

Abstract

This paper presents some recent results involving track level fusion in a distributed tracking environment. Successful fusion for the application requires that target state estimates and their error covariance matrices be available for processing. For this study, the limitations associated with several of the existing communication links (missing covariance) and how we can recover track covariance matrices from track quality parameters, are being dealt with. An algorithm for reconstructing an error covariance from on offboard track system is presented using the notion of an ambiguous measurement set. The performance of this approach is demonstrated in several simulated test cases.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1998
Accession Number
ADA399489

Entities

People

  • Mark Owen
  • Robert N. Lobbia

Organizations

  • Boeing Defense, Space & Security

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Cartesian Coordinates
  • Communication Channels
  • Covariance
  • Data Fusion
  • Data Science
  • Defense Systems
  • Environment
  • Estimators
  • Geometry
  • Information Science
  • Measurement
  • Orientation (Direction)
  • Probability
  • Research Facilities
  • Statistical Algorithms

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.