Hierarchical resource management in adaptive airborne surveillance radars
Journal article, 2006

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.


Johannes Wintenby

Chalmers, Signals and Systems

V. Krishnamurthy

University of British Columbia (UBC)

IEEE Transactions on Aerospace and Electronic Systems

0018-9251 (ISSN)

Vol. 42 2 401-420

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering



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