{"title":"用于交通监控的多静态雷达成像","authors":"O. Dogan","doi":"10.1109/IEMTRONICS51293.2020.9216417","DOIUrl":null,"url":null,"abstract":"This work presents a novel radar system for vehicle imaging. The proposed system is based on estimation of target parameters like range and velocity and generation of the final radar image. For this purpose, a multistatic Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system is implemented. Both the simulation and on site measurements show that such a radar system has the potential to replace the current very expensive sensors.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multistatic Radar Imaging for Traffic Monitoring\",\"authors\":\"O. Dogan\",\"doi\":\"10.1109/IEMTRONICS51293.2020.9216417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a novel radar system for vehicle imaging. The proposed system is based on estimation of target parameters like range and velocity and generation of the final radar image. For this purpose, a multistatic Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system is implemented. Both the simulation and on site measurements show that such a radar system has the potential to replace the current very expensive sensors.\",\"PeriodicalId\":269697,\"journal\":{\"name\":\"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMTRONICS51293.2020.9216417\",\"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 IOT, Electronics and Mechatronics Conference (IEMTRONICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work presents a novel radar system for vehicle imaging. The proposed system is based on estimation of target parameters like range and velocity and generation of the final radar image. For this purpose, a multistatic Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system is implemented. Both the simulation and on site measurements show that such a radar system has the potential to replace the current very expensive sensors.