Sungdo Choi, Byungkwan Kim, Jongseok Kim, D. Kim, Hyun-Woong Cho
{"title":"高效雷达图生成的多普勒相干聚焦DOA方法","authors":"Sungdo Choi, Byungkwan Kim, Jongseok Kim, D. Kim, Hyun-Woong Cho","doi":"10.1109/ICMIM.2019.8726675","DOIUrl":null,"url":null,"abstract":"Radar-based environment mapping is considered as one of the key technology for highly automated driving. This paper presents an efficient radar map generation based on newly proposed Doppler coherent focusing Direction-Of-Arrival (DOA) method. This method consists of Doppler coherent Angle-Of-Interest (AOI) prediction and DOA steering vector adaptation. The simulation shows that the proposed DOA methods outperformed the conventional approach in both computational cost and radar grid map resolution. In addition, real data obtained from a 77GHz radar sensor are presented to show the effectiveness of the proposed approach practically.","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Doppler Coherent Focusing DOA Method for Efficient Radar Map Generation\",\"authors\":\"Sungdo Choi, Byungkwan Kim, Jongseok Kim, D. Kim, Hyun-Woong Cho\",\"doi\":\"10.1109/ICMIM.2019.8726675\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radar-based environment mapping is considered as one of the key technology for highly automated driving. This paper presents an efficient radar map generation based on newly proposed Doppler coherent focusing Direction-Of-Arrival (DOA) method. This method consists of Doppler coherent Angle-Of-Interest (AOI) prediction and DOA steering vector adaptation. The simulation shows that the proposed DOA methods outperformed the conventional approach in both computational cost and radar grid map resolution. In addition, real data obtained from a 77GHz radar sensor are presented to show the effectiveness of the proposed approach practically.\",\"PeriodicalId\":225972,\"journal\":{\"name\":\"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMIM.2019.8726675\",\"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 MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIM.2019.8726675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Doppler Coherent Focusing DOA Method for Efficient Radar Map Generation
Radar-based environment mapping is considered as one of the key technology for highly automated driving. This paper presents an efficient radar map generation based on newly proposed Doppler coherent focusing Direction-Of-Arrival (DOA) method. This method consists of Doppler coherent Angle-Of-Interest (AOI) prediction and DOA steering vector adaptation. The simulation shows that the proposed DOA methods outperformed the conventional approach in both computational cost and radar grid map resolution. In addition, real data obtained from a 77GHz radar sensor are presented to show the effectiveness of the proposed approach practically.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
