Charlish, AlexanderAlexanderCharlishHoffmann, FolkerFolkerHoffmannBell, KristineKristineBellKreucher, ChrisChrisKreucher2025-05-282025-05-282024https://publica.fraunhofer.de/handle/publica/48804510.1049/SBRA552E_ch102-s2.0-85193352792Cognitive 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 chapter 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.enfalsebook article