{"title":"Optimal One-Shot Detection of Preambles with Frequency Offset","authors":"Rene Wuerll, J. Robert, G. Kilian, Gerd Heuberger","doi":"10.1109/ANTS.2018.8710114","DOIUrl":null,"url":null,"abstract":"Unidirectional low power wide area network (LP-WAN) transmissions originating from energy-constrained sensor nodes can only be detected once at the receiver or the transmitted information is lost forever. The usually low-budget transmitters are not synchronized with the receiver and have a significant frequency offset. Hence, we design an optimal detector that maximizes the probability of detection with a hypothesis testing approach using a likelihood ratio test (LRT). The theoretically optimal detector is simulated but not implementable. For practical applications, we present approximated detectors, which are very close to the ideal performance.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS.2018.8710114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Unidirectional low power wide area network (LP-WAN) transmissions originating from energy-constrained sensor nodes can only be detected once at the receiver or the transmitted information is lost forever. The usually low-budget transmitters are not synchronized with the receiver and have a significant frequency offset. Hence, we design an optimal detector that maximizes the probability of detection with a hypothesis testing approach using a likelihood ratio test (LRT). The theoretically optimal detector is simulated but not implementable. For practical applications, we present approximated detectors, which are very close to the ideal performance.