{"title":"基于互易时间、本质不连续和混沌发生器的雷达啁啾","authors":"H. Teodorescu","doi":"10.23919/AE.2019.8867007","DOIUrl":null,"url":null,"abstract":"We introduce and analyze a set of essentially discontinuous functions, based on multiplicative inverse of the time, which are usable as chirp signals. An advantage of these chirps is that they can be chosen from a large class to allow multiple radar operators to use each a specific waveform in automotive applications. When the new chirps are derived from chaotic signals, they are also less predictable for an observer, which is an advantage in some radar and sonar applications.","PeriodicalId":177095,"journal":{"name":"2019 International Conference on Applied Electronics (AE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chirps for radar based on reciprocal time, essential discontinuities and chaotic generators\",\"authors\":\"H. Teodorescu\",\"doi\":\"10.23919/AE.2019.8867007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce and analyze a set of essentially discontinuous functions, based on multiplicative inverse of the time, which are usable as chirp signals. An advantage of these chirps is that they can be chosen from a large class to allow multiple radar operators to use each a specific waveform in automotive applications. When the new chirps are derived from chaotic signals, they are also less predictable for an observer, which is an advantage in some radar and sonar applications.\",\"PeriodicalId\":177095,\"journal\":{\"name\":\"2019 International Conference on Applied Electronics (AE)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Applied Electronics (AE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/AE.2019.8867007\",\"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 International Conference on Applied Electronics (AE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/AE.2019.8867007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chirps for radar based on reciprocal time, essential discontinuities and chaotic generators
We introduce and analyze a set of essentially discontinuous functions, based on multiplicative inverse of the time, which are usable as chirp signals. An advantage of these chirps is that they can be chosen from a large class to allow multiple radar operators to use each a specific waveform in automotive applications. When the new chirps are derived from chaotic signals, they are also less predictable for an observer, which is an advantage in some radar and sonar applications.