V. Lesnikov, T. Naumovich, A. Chastikov, Dmitriy Dubovcev
{"title":"能量检测器阈值在线计算的中心卡方分布近似","authors":"V. Lesnikov, T. Naumovich, A. Chastikov, Dmitriy Dubovcev","doi":"10.1109/EWDTS.2016.7807710","DOIUrl":null,"url":null,"abstract":"Despite the simplicity of the energy detector, its use in cognitive radio systems is limited by the need of a priori information about the noise level. In the absence of such information, it is necessary to estimate the variance of the noise in one way or another and recalculate the threshold of detection on false alarm. If the noise is additive white Gaussian (AWGN) with zero mean, then the threshold is compared to a test statistic that has a central chi-squared distribution. However, calculation of a threshold of detection in the operational (on-line) mode is difficult. In this paper, various approximations of the central chi-squared distribution are investigated. These approximations will allow simplifying the operational calculation of the detection threshold.","PeriodicalId":364686,"journal":{"name":"2016 IEEE East-West Design & Test Symposium (EWDTS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Approximation of the central chi-squared distribution for on-line computation of the threshold for energy detector\",\"authors\":\"V. Lesnikov, T. Naumovich, A. Chastikov, Dmitriy Dubovcev\",\"doi\":\"10.1109/EWDTS.2016.7807710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite the simplicity of the energy detector, its use in cognitive radio systems is limited by the need of a priori information about the noise level. In the absence of such information, it is necessary to estimate the variance of the noise in one way or another and recalculate the threshold of detection on false alarm. If the noise is additive white Gaussian (AWGN) with zero mean, then the threshold is compared to a test statistic that has a central chi-squared distribution. However, calculation of a threshold of detection in the operational (on-line) mode is difficult. In this paper, various approximations of the central chi-squared distribution are investigated. These approximations will allow simplifying the operational calculation of the detection threshold.\",\"PeriodicalId\":364686,\"journal\":{\"name\":\"2016 IEEE East-West Design & Test Symposium (EWDTS)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE East-West Design & Test Symposium (EWDTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EWDTS.2016.7807710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE East-West Design & Test Symposium (EWDTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EWDTS.2016.7807710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Approximation of the central chi-squared distribution for on-line computation of the threshold for energy detector
Despite the simplicity of the energy detector, its use in cognitive radio systems is limited by the need of a priori information about the noise level. In the absence of such information, it is necessary to estimate the variance of the noise in one way or another and recalculate the threshold of detection on false alarm. If the noise is additive white Gaussian (AWGN) with zero mean, then the threshold is compared to a test statistic that has a central chi-squared distribution. However, calculation of a threshold of detection in the operational (on-line) mode is difficult. In this paper, various approximations of the central chi-squared distribution are investigated. These approximations will allow simplifying the operational calculation of the detection threshold.