Show simple item record

dc.contributor.authorNapolitano, Antonio
dc.date.accessioned2021-02-22T06:56:48Z
dc.date.available2021-02-22T06:56:48Z
dc.date.issued2021-01-24
dc.identifier.citationNapolitano, A. (2021). Aircraft Acoustic Signal Modeled as Oscillatory Almost-Cyclostationary Process. 2020 28th European Signal Processing Conference (EUSIPCO). doi:10.23919/eusipco47968.2020.9287381
dc.identifier.isbn9789082797053
dc.identifier.issn2219-5491
dc.identifier.doi10.23919/eusipco47968.2020.9287381
dc.identifier.urihttp://hdl.handle.net/10754/667559
dc.description.abstractThe acoustic almost-cyclostationary signal emitted by a moving aircraft is modeled as an oscillatory almost-cyclostationary process when it is received by a stationary listener. Its autocorrelation function is constituted by the superposition of angle-modulated sinewaves, where the angle modulation is consequence of the time-varying delay due to the relative motion between aircraft and listener. Conditions under which the source almost-cyclostationary signal can be recovered by the received signal by time de-warping are established. Thus, cyclic features of the source signal carrying information on aircraft parameters are estimated by classical cyclic spectral analysis.
dc.description.sponsorshipThis publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2019-CRG8-4057
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9287381/
dc.rightsArchived with thanks to IEEE
dc.titleAircraft Acoustic Signal Modeled as Oscillatory Almost-Cyclostationary Process
dc.typeConference Paper
dc.conference.date2020-08-24 to 2020-08-28
dc.conference.name28th European Signal Processing Conference, EUSIPCO 2020
dc.conference.locationAmsterdam, NLD
dc.eprint.versionPre-print
dc.contributor.institutionDepartment of Engineering University of Napoli “Parthenope” Napoli, Italy
dc.identifier.volume2021-January
dc.identifier.pages2368-2372
kaust.grant.numberOSR-2019-CRG8-4057
dc.identifier.eid2-s2.0-85099289580
kaust.acknowledged.supportUnitOffice of Sponsored Research (OSR)


This item appears in the following Collection(s)

Show simple item record