J. Rajruangrabin, T. Pongthavornkamol, Suradesh Chotchuang, P. Pongpaibool
{"title":"基于机器学习方法的相控阵雷达系统波束自动导向标定","authors":"J. Rajruangrabin, T. Pongthavornkamol, Suradesh Chotchuang, P. Pongpaibool","doi":"10.1109/icce-asia46551.2019.8941592","DOIUrl":null,"url":null,"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.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automatic Beam Steering Calibration by Machine Learning Method for Phased Array Radar System\",\"authors\":\"J. Rajruangrabin, T. Pongthavornkamol, Suradesh Chotchuang, P. Pongpaibool\",\"doi\":\"10.1109/icce-asia46551.2019.8941592\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":117814,\"journal\":{\"name\":\"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icce-asia46551.2019.8941592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icce-asia46551.2019.8941592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.