Universal Learning Waveform Selection Strategies for Adaptive Target Tracking

Online selection of optimal waveforms for target tracking with active sensors has long been a problem of interest. Many conventional solutions utilize an estimation-theoretic interpretation, in which a waveform-specific Cramér-Rao lower bound on measurement error is used to select the optimal wavefo...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2022-12, Vol.58 (6), p.5798-5814
Hauptverfasser:	Thornton, Charles E., Buehrer, R. Michael, Dhillon, Harpreet S., Martone, Anthony F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Behavioral sciences Context Cramer-Rao bounds Error analysis Interference mitigation Learning Lower bounds Markov analysis Markov processes Optimization Probabilistic models Radar Radar tracking radar waveform selection Reinforcement learning Sensors Target tracking Tracking universal prediction Waveforms Weighting methods
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