Optimization Problems in Multisensor and Multitarget Target Tracking

Abstract

The central problem in any surveillance system is the data association problem of partitioning observations into tracks and false alarms. Over the last fifteen years and with support from AFOSR, a new approach has been developed based on the use of multi-dimensional assignment problem formulation and Lagrangian relaxation algorithms. (This approach is often called multiple frame assignments or MFA for short.) Four U. S. patents have now been issued for this work. What is more, based on this new technology, Lockheed Martin of Oswego, NY won the best of Breed Tracking Contest for the next upgrade to AWACS held at Hanscom AFB in Boston in 1996, and it has been chosen as the tracking system for the Navy's new multipurpose helicopter under the LAMPS program. Currently, it is a contender for national and ballistic missile defense in the Hercules Program funded by MD Advanced Systems, for STSS Program as funded by the Department of the Air Force (in 2001 and 2002) and MDA in 2003.

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Document Details

Document Type
Technical Report
Publication Date
Mar 12, 2004
Accession Number
ADA421334

Entities

People

  • Aubrey B. Poore

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerospace Industry
  • Air Force
  • Algorithms
  • Ballistic Missiles
  • Data Association
  • Detectors
  • Electronic Mail
  • False Alarms
  • Mathematics
  • Multiple Targets
  • Multisensors
  • Multitarget Tracking
  • Optimization
  • Surveillance
  • Systems Engineering
  • Target Tracking
  • Warning Systems

Readers

  • Missile Defense Systems.
  • Operations Research
  • Technical Research and Report Writing.