{"title":"环境感知毫米波雷达抗干扰算法","authors":"Jin Dai, Shuo Sha, Yao Yao","doi":"10.1109/MetroAutomotive57488.2023.10219111","DOIUrl":null,"url":null,"abstract":"Environment-aware millimeter wave radar (EMWR) is one of the most important sensors in autonomous driving system of car. With the number of cars installed EMWR increased rapidly in recent year, the problem of interference between EMWRs on different cars becomes a mounting crisis, which can seriously affect the safety of drivers on that car, especially driving on the highway. In order to solve the above problem, this paper conducts an anti-interference algorithm for 77G EMWR by dividing the interference among EWMRs into two types: the same frequency interference (SFI) and different frequency interference (DFI). In the SFI, the random initial frequency and random starting time are used to reduce the probability of signal collision to inhibit the interference. In DFI, the Hilbert transformation is used to extract the envelope and gets the location of the interference signal. Furthermore, Lagrange interpolation is used to improve the accuracy of the location in DFI to reduce the effective of different frequency interference on EMWRs.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Anti-Interference Algorithm of Environment-Aware Millimeter Wave Radar\",\"authors\":\"Jin Dai, Shuo Sha, Yao Yao\",\"doi\":\"10.1109/MetroAutomotive57488.2023.10219111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Environment-aware millimeter wave radar (EMWR) is one of the most important sensors in autonomous driving system of car. With the number of cars installed EMWR increased rapidly in recent year, the problem of interference between EMWRs on different cars becomes a mounting crisis, which can seriously affect the safety of drivers on that car, especially driving on the highway. In order to solve the above problem, this paper conducts an anti-interference algorithm for 77G EMWR by dividing the interference among EWMRs into two types: the same frequency interference (SFI) and different frequency interference (DFI). In the SFI, the random initial frequency and random starting time are used to reduce the probability of signal collision to inhibit the interference. In DFI, the Hilbert transformation is used to extract the envelope and gets the location of the interference signal. Furthermore, Lagrange interpolation is used to improve the accuracy of the location in DFI to reduce the effective of different frequency interference on EMWRs.\",\"PeriodicalId\":115847,\"journal\":{\"name\":\"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MetroAutomotive57488.2023.10219111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Anti-Interference Algorithm of Environment-Aware Millimeter Wave Radar
Environment-aware millimeter wave radar (EMWR) is one of the most important sensors in autonomous driving system of car. With the number of cars installed EMWR increased rapidly in recent year, the problem of interference between EMWRs on different cars becomes a mounting crisis, which can seriously affect the safety of drivers on that car, especially driving on the highway. In order to solve the above problem, this paper conducts an anti-interference algorithm for 77G EMWR by dividing the interference among EWMRs into two types: the same frequency interference (SFI) and different frequency interference (DFI). In the SFI, the random initial frequency and random starting time are used to reduce the probability of signal collision to inhibit the interference. In DFI, the Hilbert transformation is used to extract the envelope and gets the location of the interference signal. Furthermore, Lagrange interpolation is used to improve the accuracy of the location in DFI to reduce the effective of different frequency interference on EMWRs.