{"title":"无源雷达的两级频谱传感","authors":"A. Soltani, M. R. Taban, Hamid Saeedi‐Sourck","doi":"10.1109/AISP.2017.8324093","DOIUrl":null,"url":null,"abstract":"In this paper, we address the problem of spectrum sensing of received signal in the passive surveillant systems. The received signal is assumed to be completely unknown. We use the two-stage spectrum sensing method to facilitate the detection operation in the passive radars. Moreover, the proposed spectrum analyzer in the passive radar is compared with the one-stage spectrum sensing. Analytical and numerical results show that this method reduces the computational complexity and estimates the frequency characteristics accurately.","PeriodicalId":386952,"journal":{"name":"2017 Artificial Intelligence and Signal Processing Conference (AISP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-stage spectrum sensing in passive radar\",\"authors\":\"A. Soltani, M. R. Taban, Hamid Saeedi‐Sourck\",\"doi\":\"10.1109/AISP.2017.8324093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we address the problem of spectrum sensing of received signal in the passive surveillant systems. The received signal is assumed to be completely unknown. We use the two-stage spectrum sensing method to facilitate the detection operation in the passive radars. Moreover, the proposed spectrum analyzer in the passive radar is compared with the one-stage spectrum sensing. Analytical and numerical results show that this method reduces the computational complexity and estimates the frequency characteristics accurately.\",\"PeriodicalId\":386952,\"journal\":{\"name\":\"2017 Artificial Intelligence and Signal Processing Conference (AISP)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Artificial Intelligence and Signal Processing Conference (AISP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AISP.2017.8324093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Artificial Intelligence and Signal Processing Conference (AISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AISP.2017.8324093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we address the problem of spectrum sensing of received signal in the passive surveillant systems. The received signal is assumed to be completely unknown. We use the two-stage spectrum sensing method to facilitate the detection operation in the passive radars. Moreover, the proposed spectrum analyzer in the passive radar is compared with the one-stage spectrum sensing. Analytical and numerical results show that this method reduces the computational complexity and estimates the frequency characteristics accurately.
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