Optimum Sensors Integration for Multi-Sensor Multi-Target Environment for Ballistic Missile Defense Applications

Conference · Sun Jan 01 00:00:00 EST 2012

OSTI ID:1037661

Imam, Neena ^[1]; Barhen, Jacob ^[1]; Glover, Charles Wayne ^[1]

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1. ORNL

Multi-sensor networks may face resource limitations in a dynamically evolving multiple target tracking scenario. It is necessary to task the sensors efficiently so that the overall system performance is maximized within the system constraints. The central sensor resource manager may control the sensors to meet objective functions that are formulated to meet system goals such as minimization of track loss, maximization of probability of target detection, and minimization of track error. This paper discusses the variety of techniques that may be utilized to optimize sensor performance for either near term gain or future reward over a longer time horizon.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Work for Others (WFO)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 1037661
• Resource Relation: Conference: IEEE International Systems Conference, Vancouver, Canada, 20120319, 20120322
• Country of Publication: United States
• Language: English

Related Subjects

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
42 ENGINEERING
BALLISTIC MISSILE DEFENSE
DETECTION
DYNAMIC PROGRAMMING
INFORMATION THEORY
MINIMIZATION
PERFORMANCE
PROBABILITY
SENSORS
TARGETS