{"title":"The theoretical performance of ATSC spectrum sensing","authors":"S. Shellhammer","doi":"10.1109/DYSPAN.2011.5936242","DOIUrl":null,"url":null,"abstract":"A overview of ATSC spectrum sensing based on detection of the pilot signal is provided. Then the theoretical performance for such a spectrum sensor is given. The formula for the probability of mis-detection (one minus the probability of detection) is derived for several different channels. The channel models that are consider are: additive white Gaussian noise, a Rayleigh fading channel with long coherence time and a multiple receive antenna Rayleigh fading channel with long coherence time and finally a Rayleigh fading channel with short coherence time. The formula for the probability of false alarm is also derived. Based on the formulas for probability of mis-detection and probability of false alarm observations are made about how changes in various design parameters impact the sensing performance. Finally, and example is given using typical parameter values.","PeriodicalId":119856,"journal":{"name":"2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYSPAN.2011.5936242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A overview of ATSC spectrum sensing based on detection of the pilot signal is provided. Then the theoretical performance for such a spectrum sensor is given. The formula for the probability of mis-detection (one minus the probability of detection) is derived for several different channels. The channel models that are consider are: additive white Gaussian noise, a Rayleigh fading channel with long coherence time and a multiple receive antenna Rayleigh fading channel with long coherence time and finally a Rayleigh fading channel with short coherence time. The formula for the probability of false alarm is also derived. Based on the formulas for probability of mis-detection and probability of false alarm observations are made about how changes in various design parameters impact the sensing performance. Finally, and example is given using typical parameter values.
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