Donghyun Kim, Sung Hoe Kim, Seung Gook Cha, Y. Yoon, B. Jang
{"title":"基于时间调制的dnn测向","authors":"Donghyun Kim, Sung Hoe Kim, Seung Gook Cha, Y. Yoon, B. Jang","doi":"10.1109/IEEECONF35879.2020.9329900","DOIUrl":null,"url":null,"abstract":"In this paper, novel direction finding method based on deep neural network (DNN) and time modulation is proposed for resolution improvement. The proposed method has fast estimation time and simple system compared to the conventional method. The resolution improvement by the time modulation and DNN is three times higher than the previously studied method. In addition to, through an experiment, the proposed method has been validated to have higher resolution and similar accuracy.","PeriodicalId":135770,"journal":{"name":"2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DNN-based Direction Finding by Time Modulation\",\"authors\":\"Donghyun Kim, Sung Hoe Kim, Seung Gook Cha, Y. Yoon, B. Jang\",\"doi\":\"10.1109/IEEECONF35879.2020.9329900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, novel direction finding method based on deep neural network (DNN) and time modulation is proposed for resolution improvement. The proposed method has fast estimation time and simple system compared to the conventional method. The resolution improvement by the time modulation and DNN is three times higher than the previously studied method. In addition to, through an experiment, the proposed method has been validated to have higher resolution and similar accuracy.\",\"PeriodicalId\":135770,\"journal\":{\"name\":\"2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEECONF35879.2020.9329900\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEECONF35879.2020.9329900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, novel direction finding method based on deep neural network (DNN) and time modulation is proposed for resolution improvement. The proposed method has fast estimation time and simple system compared to the conventional method. The resolution improvement by the time modulation and DNN is three times higher than the previously studied method. In addition to, through an experiment, the proposed method has been validated to have higher resolution and similar accuracy.
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