{"title":"脉冲噪声下的顺序检测","authors":"Toufik Mouchini, K. Ghanem, M. Djeddou, M. Nedil","doi":"10.1109/IEEECONF35879.2020.9330161","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the primary user (PU) detection problem in interweave cognitive networks, in the presence of an impulse noise. Adopting Middleton's Class A distribution for this latter, and a sequential probability ratio test for the PU detection, closed form expressions are derived for the per-sample log likelihood ratio, as well as the average sample numbers under binary hypothesis testing.","PeriodicalId":135770,"journal":{"name":"2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sequential detection under impulsive Noise\",\"authors\":\"Toufik Mouchini, K. Ghanem, M. Djeddou, M. Nedil\",\"doi\":\"10.1109/IEEECONF35879.2020.9330161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider the primary user (PU) detection problem in interweave cognitive networks, in the presence of an impulse noise. Adopting Middleton's Class A distribution for this latter, and a sequential probability ratio test for the PU detection, closed form expressions are derived for the per-sample log likelihood ratio, as well as the average sample numbers under binary hypothesis testing.\",\"PeriodicalId\":135770,\"journal\":{\"name\":\"2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEECONF35879.2020.9330161\",\"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 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEECONF35879.2020.9330161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we consider the primary user (PU) detection problem in interweave cognitive networks, in the presence of an impulse noise. Adopting Middleton's Class A distribution for this latter, and a sequential probability ratio test for the PU detection, closed form expressions are derived for the per-sample log likelihood ratio, as well as the average sample numbers under binary hypothesis testing.
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