Title :
Optimum sensors integration for multi-sensor multi-target environment for ballistic missile defense applications
Author :
Imam, Neena ; Barhen, Jacob ; Glover, Charles
Author_Institution :
Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Abstract :
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.
Keywords :
military computing; optimisation; probability; sensor fusion; target tracking; ballistic missile defense applications; multiple target tracking; multisensor multitarget environment; multisensor networks; optimum sensors integration; sensor resource manager; target detection probability maximization; track error minimization; track loss minimization; Dynamic programming; Missiles; Radar tracking; Sensor systems; Target tracking; dynamic programming; information theory; multi-sensor; multi-target; sensor resource managment; state and covariance;
Conference_Titel :
Systems Conference (SysCon), 2012 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-0748-2
DOI :
10.1109/SysCon.2012.6189519