Automatic Beam Steering Calibration by Machine Learning Method for Phased Array Radar System

This paper presents new method of automatic beam steering calibration of phased array radar by using Reinforcement Learning method. The method of Q-Learning is used to find a standard of Digital Phase Shifters which is the main component of beam control. In complicated calibration process, the system measurement by expert user and time consumption are needed. The proposed method can reduce the resource usage.