Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments.
Charles E. ThorntonMark A. KozyR. Michael BuehrerAnthony F. MartoneKelly D. SherbondyPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- control problems
- multi target tracking
- optimal control
- control system
- detecting and tracking multiple
- object detection
- target recognition
- state space
- particle filter
- face detection and tracking
- human detection
- control method
- robot control
- robotic systems
- partial occlusion
- millimeter wave
- joint detection
- person detection
- markov decision processes
- automatic target recognition
- real time
- object tracking
- multi agent
- target detection
- false positives
- detection method
- signal processing
- false detections
- control policy
- low cost sensors
- model free
- function approximation
- detection algorithm
- autonomous robots
- false alarms
- hyperspectral imagery
- particle filtering
- radar images
- sar images
- control strategy
- kalman filter
- anomaly detection
- dynamic programming