In this paper we present hierarchical resource management algorithms for adaptive airborne surveillance radars. By abstracting the physical layer sensor performance into a quality of service measure, the resource management problem is formulated as a constrained Markov decision process. A two-level (two-timescale) resource management algorithm is presented based on Lagrangian relaxation. A numerical example is given with scenarios involving different target densities.
Hierarchical resource management in adaptive airborne surveillance radars
IEEE Transactions on Aerospace and Electronic Systems ; 42 , 2 ; 401-420
2006-04-01
3124142 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Hierarchical Resource Management in Adaptive Airborne Surveillance Radars
Online Contents | 2006
|Airborne Radars for Surveillance and Weapon Delivery
NTIS | 1977
|Online Contents | 1998
|Online Contents
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