{"title":"Wireless Orientation in the Presence of Mutual Couplings","authors":"Hao Wang, Bin Zhang, Changzhi Li, L. Ran","doi":"10.1109/RWS45077.2020.9050015","DOIUrl":null,"url":null,"abstract":"Conventional microwave orientation methods based on the array antenna require high element isolation in most cases. In our work, a neural network-based microwave orientation method is proposed to avoid the interferences caused by the mutual couplings between elements. An end-to-end orientation prototype with a strongly coupled array, phase detectors and a non-distortion CMOS video camera is designed and the real-time target source location can be determined by the back-propagation neural network (BPNN) based on the information of phase differences. Simulation and experimental results verify the effectiveness of the proposed orientation method.","PeriodicalId":184822,"journal":{"name":"2020 IEEE Radio and Wireless Symposium (RWS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS45077.2020.9050015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Conventional microwave orientation methods based on the array antenna require high element isolation in most cases. In our work, a neural network-based microwave orientation method is proposed to avoid the interferences caused by the mutual couplings between elements. An end-to-end orientation prototype with a strongly coupled array, phase detectors and a non-distortion CMOS video camera is designed and the real-time target source location can be determined by the back-propagation neural network (BPNN) based on the information of phase differences. Simulation and experimental results verify the effectiveness of the proposed orientation method.