{"title":"基于隐马尔可夫模型的LPI发射器检测","authors":"Yılmaz Bayindir, Yakup S. Özkazanç","doi":"10.1109/SIU49456.2020.9302518","DOIUrl":null,"url":null,"abstract":"LPI radar is a special kind of radar which incorporates some features and techniques to avoid being detected. Because of their advantages, FMCW waveform is often used in LPI emitters. In this work, an original method based on hidden Markov model is suggested for the detection of FMCW. The suggested method is composed of learning and decoding layers. As a result of the simulations, it is observed that several simultaneous LPI emitters having low SNR can be detected in a wide dynamic range.","PeriodicalId":312627,"journal":{"name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LPI Emitter Detection Based on Hidden Markov Model\",\"authors\":\"Yılmaz Bayindir, Yakup S. Özkazanç\",\"doi\":\"10.1109/SIU49456.2020.9302518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"LPI radar is a special kind of radar which incorporates some features and techniques to avoid being detected. Because of their advantages, FMCW waveform is often used in LPI emitters. In this work, an original method based on hidden Markov model is suggested for the detection of FMCW. The suggested method is composed of learning and decoding layers. As a result of the simulations, it is observed that several simultaneous LPI emitters having low SNR can be detected in a wide dynamic range.\",\"PeriodicalId\":312627,\"journal\":{\"name\":\"2020 28th Signal Processing and Communications Applications Conference (SIU)\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 28th Signal Processing and Communications Applications Conference (SIU)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU49456.2020.9302518\",\"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 28th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU49456.2020.9302518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LPI Emitter Detection Based on Hidden Markov Model
LPI radar is a special kind of radar which incorporates some features and techniques to avoid being detected. Because of their advantages, FMCW waveform is often used in LPI emitters. In this work, an original method based on hidden Markov model is suggested for the detection of FMCW. The suggested method is composed of learning and decoding layers. As a result of the simulations, it is observed that several simultaneous LPI emitters having low SNR can be detected in a wide dynamic range.
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