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  4. Implementing Perception-Action Cycles using Stochastic Optimization
 
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2020
Conference Paper
Title

Implementing Perception-Action Cycles using Stochastic Optimization

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.
Author(s)
Charlish, A.
Bell, K.
Kreucher, C.
Mainwork
IEEE Radar Conference, RadarConf 2020  
Conference
Radar Conference (RadarConf) 2020  
DOI
10.1109/RadarConf2043947.2020.9266338
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
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