Innovative Approach to Development of a Variable Configuration Multisensor Test Capability.

Abstract

Rome Laboratory (RL) OCSM directorate is actively developing a Multisensor Data Fusion Tracking Testbed capability for evaluating, testing, and developing fusion algorithms. This report describes the work performed by CSC Professional Services Group to improve this testbed, install the University of Connecticut's Multisensor Air Traffic Surveillance (MATSurv) Tracking Algorithm, and validate the algorithm's performance. The MATSurv algorithm is the result of RL's efforts to transition data association and estimation algorithms, developed as part of AFOSR funded research, out of the university environment and into the field for test and evaluation. The testbed is unique in that it provides a menu driven variable configuration capability that allows researchers to configure the software and hardware resources. The resources include data sources, data processing components, and display devices configurable into real world combinations. Thus, the testbed provides a framework for the evaluation and modification of abstract methods of combining multiple sources of data into fused tracks.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1995
Accession Number
ADA299825

Entities

People

  • Gerald A. Bright
  • Mark D. Barnell
  • Robert S. Mandry

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Traffic
  • Algorithms
  • Data Association
  • Data Fusion
  • Data Processing
  • Environment
  • Information Processing
  • Multisensors
  • Surveillance
  • Target Tracking
  • Test And Evaluation
  • Traffic
  • Transitions
  • Universities

Fields of Study

  • Computer science

Readers

  • Research Science/Academic Research
  • Sensor Fusion and Tracking Systems.
  • Software Engineering.