Carrier Frequency Estimation of Time-Frequency Overlapped MASK Signals for Underlay Cognitive Radio Network

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dc.contributor.authorLiu, Mingqianen
dc.contributor.authorZhang, Junlinen
dc.contributor.authorLin, Yunen
dc.contributor.authorWu, Zhenen
dc.contributor.authorShang, Bodongen
dc.contributor.authorGong, Fengkuien
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2019-08-14T16:37:58Zen
dc.date.available2019-08-14T16:37:58Zen
dc.date.issued2019en
dc.description.abstractAs the single-signal carrier frequency estimation method is unsuitable for the time-frequency overlapped signals in an underlay cognitive radio network (CRN), in this paper, we propose a novel carrier frequency estimation method for the time-frequency overlapped multi-level amplitude-shift keying (MASK) signals in the underlay CRN. In this method, the diagonal slice spectrum of cyclic bispectrum for the time-frequency overlapped MASK signals is first estimated, and then, the carrier frequency of component MASK signals is estimated by extracting the position information of the diagonal slice spectrum line based on the norm theory and the adaptive threshold. In addition, the Cramer-Rao bound (CRB) of the carrier frequency estimation for the time-frequency overlapped MASK signals is also derived. The simulation results show that the proposed method can estimate the carrier frequency of the time-frequency overlapped MASK signals effectively, especially in low signal-to-noise ratio (SNR) regions.en
dc.description.notesThis work was supported in part by the National Natural Science Foundation of China under Grant 61501348 and Grant 61801363, in part by the Shaanxi Provincial Key Research and Development Program under Grant 2019GY-043 and Grant S2019-YF-YBGY-0644, in part by the Joint Fund of Ministry of Education of China under Grant 6141A02022338, in part by the China Postdoctoral Science Foundation under Grant 2017M611912, in part by the Jiangsu Planned Projects for Postdoctoral Research Funds under Grant 1701059B, in part by the 111 Project under Grant B08038, and in part by the China Scholarship Council under Grant 201806965031.en
dc.description.sponsorshipNational Natural Science Foundation of China [61501348, 61801363]; Shaanxi Provincial Key Research and Development Program [2019GY-043, S2019-YF-YBGY-0644]; Ministry of Education of China [6141A02022338]; China Postdoctoral Science Foundation [2017M611912]; Jiangsu Planned Projects for Postdoctoral Research Funds [1701059B]; 111 Project [B08038]; China Scholarship Council [201806965031]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2914407en
dc.identifier.eissn2169-3536en
dc.identifier.urihttp://hdl.handle.net/10919/93130en
dc.identifier.volume7en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 3.0 Unporteden
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectUnderlay cognitive radioen
dc.subjectcarrier frequency estimationen
dc.subjecttime-frequency overlappeden
dc.subjectcyclic bispectrumen
dc.subjectCramer-Rao bounden
dc.titleCarrier Frequency Estimation of Time-Frequency Overlapped MASK Signals for Underlay Cognitive Radio Networken
dc.title.serialIEEE Accessen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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