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

J. Rajruangrabin, T. Pongthavornkamol, Suradesh Chotchuang, P. Pongpaibool
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引用次数: 1

Abstract

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.
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基于机器学习方法的相控阵雷达系统波束自动导向标定
提出了一种基于强化学习的相控阵雷达波束自动导向标定方法。采用q -学习的方法找到了作为波束控制主要组成部分的数字移相器的标准。在复杂的校准过程中,需要专家用户对系统进行测量,耗费大量时间。该方法可以减少资源的使用。
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