Quality of service based radar resource management using deep reinforcement learning

An intelligent radar resource management is an essential milestone in the development of a cognitive radar system. The quality of service based resource allocation model (Q-RAM) is a framework allowing for intelligent decision making but classical solutions seem insufficient for real-time application in a modern radar system. In this paper, we present a solution for the Q-RAM radar resource management problem using deep reinforcement learning considerably improving on runtime performance.

Automated summary

The study introduces a solution for intelligent radar resource management using deep reinforcement learning, significantly improving runtime performance and providing new insights for the development of cognitive radar systems.