A Robust Sensor Scheduling Algorithm Based on Deep Reinforcement Learning for Maneuvering Target Tracking
This work considers the problem of sensor scheduling for maneuvering targets using time difference of arrival (TDOA). We propose a novel interacting multiple model (IMM) sensor scheduling method based on the parameterized deep Q-network (PDQN) algorithm. This method uses extended Kalman filtering (EKF) to predict the t...