Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management
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Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management
arXiv:2606.05526v1 Announce Type: new Abstract: In this paper, multi-target tracking and scanning are considered in a radar system operating in the track-while-scan mode. Specifically, time allocation for radar scanning and tracking of multiple maneuvering targets under a time budget constraint is addressed, aiming to jointly optimize the performance of both tracking and scanning in a cognitive radar. We first present the details of the model for tracking and scanning and formulate the time...