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Quality of service resource management for a radar network

: Nadjiasngar, R.; Charlish, A.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Geoscience and Remote Sensing Society:
IEEE Radar Conference 2015. Proceedings : October 27-30, 2015, Johannesburg, South Africa
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-9655-4 (Electronic)
ISBN: 978-1-4673-9654-7 (USB)
ISBN: 978-1-4673-9656-1 (Print on Demand)
Radar Conference <2015, Johannesburg>
Conference Paper
Fraunhofer FKIE ()

The resource management problem for a network of radars is formulated in this paper as a quality of service constrained optimisation problem. Conditions for the optimal solution to the problem are derived from the Karush-Kuhn-Tucker (KKT) conditions. An algorithm is presented that extends the single radar Q-RAM algorithm by satisfying the KKT conditions for the radar network case. The algorithm is demonstrated on a target tracking control problem, where it is shown that the proposed multiple sensor Q-RAM (MSQRAM) method enables an increased number of targets to be tracked with a better estimation error in comparison to locally optimised radar nodes.