Title :
A greedy policy for fleet-level radar resource management
Author :
Jinxin Zhao ; Jinwoo Seok ; Selvakumar, Jhanani ; Bencatel, Ricardo ; Kabamba, Pierre ; Girard, Antoine
Author_Institution :
Dept. of Aerosp. Eng., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
A model for a phased-array radar in the context of a defensive Naval system has been developed using hierarchical finite state machines. This model is used to study resource management for a fleet of ships equipped with one radar unit each. This fleet is under attack from aerial enemy agents. A control algorithm formulated on this specific model is used to dynamically generate a greedy policy for radar operation. The defense system is evaluated in its capability to acquire and track those aerial threats, in two configurations -centralized and decentralized (independent). The performance is quantified on the basis of time taken to establish the threat trajectory, time to compute the policy and the number of threats the system fails to track. A comparison of performance in the two configurations is provided.
Keywords :
finite state machines; phased array radar; aerial enemy agents; defensive Naval system; fleet-level radar resource management; greedy policy; hierarchical finite state machines; phased-array radar; threat trajectory; Cost function; Greedy algorithms; Marine vehicles; Mathematical model; Radar tracking; Resource management;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760365