{"title":"抗干扰的未来雷达系统方法","authors":"Z. Slavik, O. Bringmann, W. Rosenstiel","doi":"10.23919/URSIAP-RASC.2019.8738625","DOIUrl":null,"url":null,"abstract":"Automated driving reveals various shortcomings of today’s commercial automotive radar systems. We address them by proposing a noise modulated pulse-Doppler radar system that uses a subset of usually required correlation filters at the receiver stage. With a validated phenomenological radar sensor model we evaluated the radar performance in various conditions such as low signal-to-noise-ratio (SNR) and interference and compared it against a commercial frequency-modulated continuous wave (FMCW) radar.","PeriodicalId":344386,"journal":{"name":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Approaches for Interference-proof Future Radar Systems\",\"authors\":\"Z. Slavik, O. Bringmann, W. Rosenstiel\",\"doi\":\"10.23919/URSIAP-RASC.2019.8738625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automated driving reveals various shortcomings of today’s commercial automotive radar systems. We address them by proposing a noise modulated pulse-Doppler radar system that uses a subset of usually required correlation filters at the receiver stage. With a validated phenomenological radar sensor model we evaluated the radar performance in various conditions such as low signal-to-noise-ratio (SNR) and interference and compared it against a commercial frequency-modulated continuous wave (FMCW) radar.\",\"PeriodicalId\":344386,\"journal\":{\"name\":\"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIAP-RASC.2019.8738625\",\"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 URSI Asia-Pacific Radio Science Conference (AP-RASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIAP-RASC.2019.8738625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Approaches for Interference-proof Future Radar Systems
Automated driving reveals various shortcomings of today’s commercial automotive radar systems. We address them by proposing a noise modulated pulse-Doppler radar system that uses a subset of usually required correlation filters at the receiver stage. With a validated phenomenological radar sensor model we evaluated the radar performance in various conditions such as low signal-to-noise-ratio (SNR) and interference and compared it against a commercial frequency-modulated continuous wave (FMCW) radar.
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