{"title":"FMCW汽车雷达成像的超分辨率DOA","authors":"Shengzhi Xu, Jianping Wang, A. Yarovoy","doi":"10.1109/CAMA.2018.8530609","DOIUrl":null,"url":null,"abstract":"imaging using ultra-wideband (UWB) automotive radar is investigated. To overcome poor cross-range resolution of traditional beamforming (BF) algorithms, super resolution technique is applied for the Direction of Arrival (DOA) estimation. Both super-resolution algorithm and conventional BF method are used to process experimental data collected with UWB frequency modulated continuous wave (FMCW) automo- tive radar. Algorithm performances are thoroughly compared.","PeriodicalId":112989,"journal":{"name":"2018 IEEE Conference on Antenna Measurements & Applications (CAMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Super Resolution DOA for FMCW Automotive Radar Imaging\",\"authors\":\"Shengzhi Xu, Jianping Wang, A. Yarovoy\",\"doi\":\"10.1109/CAMA.2018.8530609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"imaging using ultra-wideband (UWB) automotive radar is investigated. To overcome poor cross-range resolution of traditional beamforming (BF) algorithms, super resolution technique is applied for the Direction of Arrival (DOA) estimation. Both super-resolution algorithm and conventional BF method are used to process experimental data collected with UWB frequency modulated continuous wave (FMCW) automo- tive radar. Algorithm performances are thoroughly compared.\",\"PeriodicalId\":112989,\"journal\":{\"name\":\"2018 IEEE Conference on Antenna Measurements & Applications (CAMA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Antenna Measurements & Applications (CAMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMA.2018.8530609\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Antenna Measurements & Applications (CAMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMA.2018.8530609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Super Resolution DOA for FMCW Automotive Radar Imaging
imaging using ultra-wideband (UWB) automotive radar is investigated. To overcome poor cross-range resolution of traditional beamforming (BF) algorithms, super resolution technique is applied for the Direction of Arrival (DOA) estimation. Both super-resolution algorithm and conventional BF method are used to process experimental data collected with UWB frequency modulated continuous wave (FMCW) automo- tive radar. Algorithm performances are thoroughly compared.