Publication:
Death/birth and SNR detection for vehicular Kalman channel trackers

dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Comunicacioneses
dc.contributor.authorMéndez Romero, Diego
dc.contributor.authorFernández-Getino García, María Julia
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2023-02-21T11:18:55Z
dc.date.available2023-02-21T11:18:55Z
dc.date.issued2020-06-16
dc.descriptionProceedings of: 20th Mediterranean Electrotechnical Conference (IEEE MELECON 2020), 16-18 June 2020, Palermo, Italy.en
dc.description.abstractWireless communication demand is increasing requirements due to expected smart mobility as well as modern vehicular technologies, such as Unmanned Air Vehicles (UAVs) or High-Speed Rail (HSR). In the latter scenario, high mobility through different physical environments, such as from viaducts to cuttings or tunnels, results in a fast variation of the multipath structure, giving rise to the phenomenon of birth-death of taps. To exploit the temporal correlation of each tap, however, a Kalman filter (KF) could be used; but KF's performance degrades catastrophically unless tap birth/death can be synchronically detected. To address this issue, several solutions based on particle filtering have been proposed, albeit with a prohibitive complexity. More recently, a Simplified Maximum A Posteriori (SMAP) algorithm for tap birth/death detection has been developed for the case where there is no signal-to-noise ratio (SNR) variation. With a similar purpose in mind, this paper develops a theoretical framework to understand death/birth detection when SNR is dynamical and may drift. This paper also analyzes how different quasi-ideal SNR detectors affect the SMAP algorithm's performance.en
dc.description.sponsorshipThis work has been partially supported by the Spanish National Project TERESA-ADA, under grant TEC2017-90093C3-2-R, funded by (MINECO/AEI/FEDER, UE).en
dc.format.extent5
dc.identifier.bibliographicCitationMéndez-Romero, D. & Fernández-Getino García, M. J. (16-18 June 2020). Death/birth and SNR detection for vehicular Kalman channel trackers [proceedings]. 20th Mediterranean Electrotechnical Conference (IEEE MELECON 2020), Palermo, Italy.en
dc.identifier.doihttps://doi.org/10.1109/MELECON48756.2020.9140497
dc.identifier.isbn978-1-7281-5200-4
dc.identifier.publicationfirstpage104
dc.identifier.publicationlastpage108
dc.identifier.publicationtitle20th Mediterranean Electrotechnical Conference: IEEE MELECON 2020, June 15-18, 2020: proceedingsen
dc.identifier.urihttps://hdl.handle.net/10016/36625
dc.identifier.uxxiCC/0000030854
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate2020-06-16
dc.relation.eventplaceItaliaes
dc.relation.eventtitle20th Mediterranean Electrotechnical Conference (IEEE MELECON 2020)en
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-2-Res
dc.rights©2020 IEEE
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherKalmanen
dc.subject.otherSNRen
dc.subject.otherSMAPen
dc.subject.otherOFDMen
dc.subject.otherVehicularen
dc.titleDeath/birth and SNR detection for vehicular Kalman channel trackersen
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
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