Hierarchical resource management in adaptive airborne surveillance radars
Artikel i vetenskaplig tidskrift, 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.

Författare

Johannes Wintenby

Chalmers, Signaler och system

V. Krishnamurthy

University of British Columbia (UBC)

IEEE Transactions on Aerospace and Electronic Systems

0018-9251 (ISSN)

Vol. 42 2 401-420

Ämneskategorier

Elektroteknik och elektronik

DOI

10.1109/TAES.2006.1642560

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Senast uppdaterat

2018-03-29