Distributed Quality of Service Multi-Sensor Resource Allocation Model

International Radar Conference (RADAR), pp. 1–6

Abstract

Modern phased array multi-function radars come with a large parameter space to optimize their operation, when servicing multiple tasks like search and tracking interleaved. Controlling multiple such radars to pursue a joint goal further increases the parameter space and makes finding the optimal set of radar parameters even more challenging. This paper proposes a new algorithm to allocate a time budget to multiple sensors that jointly optimize for search and tracking. The algorithm is compared to other multi-sensor resource allocation algorithms and an uncoordinated solution. We find that the new algorithm achieves a performance on the same level than the reference methods that jointly optimize the behaviour of the sensors, while requiring fewer model evaluations, which reduces computational requirements.

Authors 4

1. Hans Schily

   Fraunhofer Institute for Communication, Information Processing and Ergonomics

   Affiliation as printed

   Fraunhofer FKIE,Sensor Data & Information Fusion,Wachtberg,Germany

2. Alexander Charlish

   Fraunhofer Institute for Communication, Information Processing and Ergonomics

   Affiliation as printed

   Fraunhofer FKIE,Sensor Data & Information Fusion,Wachtberg,Germany

3. Raviraj Adve

   University of Toronto

   Affiliation as printed

   University of Toronto,Department of Electrical and Computer Engineering,Toronto,Canada

4. Anke Schmeink Aachen Chair of Information Theory and Data Analytics

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Chair of Information Theory and Data Analytics,Aachen,Germany