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Implementing Perception-Action Cycles using Stochastic Optimization

 
: Charlish, A.; Bell, K.; Kreucher, C.

:

Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Radar Conference, RadarConf 2020 : September 21-25, 2020, Florence, Italy, virtual event
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-8943-7
ISBN: 978-1-7281-8942-0
pp.1484-1489
Radar Conference (RadarConf) <2020, Online>
English
Conference Paper
Fraunhofer FKIE ()

Abstract
Cognitive radar problems involve the selection of actions based on the uncertain knowledge of a system state that is partially observed through noisy measurements. This process of sequential decision making under uncertainty can be considered as a stochastic optimization problem. This paper explicitly makes the connection between cognitive radar and stochastic optimization by presenting a framework for describing cognitive radar problems in terms of stochastic optimization, thereby pointing to ways to employ stochastic optimization for designing perception-action cycles in a cognitive radar.

: http://publica.fraunhofer.de/documents/N-638246.html