5 papers
Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
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 trac…
Adaptive Resource Management in Cognitive Radar via Deep Deterministic Policy Gradient
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
In this paper, scanning for target detection, and multi-target tracking in a cognitive radar system are considered, and adaptive radar resource management is investigated. In parti…
Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
Deep reinforcement learning has been extensively studied in decision-making processes and has demonstrated superior performance over conventional approaches in various fields, incl…
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management
Ziyang Lu, Subodh Kalia, M. Cenk Gursoy +2
The time allocation problem in multi-function cognitive radar systems focuses on the trade-off between scanning for newly emerging targets and tracking the previously detected targ…
Learning-Based Resource Management in Integrated Sensing and Communication Systems
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
In this paper, we tackle the task of adaptive time allocation in integrated sensing and communication systems equipped with radar and communication units. The dual-functional radar…