Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1620
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGál, János-
dc.contributor.authorCâmpeanu, Andrei-
dc.contributor.authorNaforniţă, Ioan-
dc.date.accessioned2020-04-16T05:31:16Z-
dc.date.accessioned2021-03-01T08:55:25Z-
dc.date.available2020-04-16T05:31:16Z-
dc.date.available2021-03-01T08:55:25Z-
dc.date.issued2007-
dc.identifier.citationGál, János. A Kalman filtering algorithm for the estimation of chirp signals in Gaussian noise. Timişoara: Editura Politehnica, 2007en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1620-
dc.description.abstractThe paper addresses the problem of estimating the parameters of polynomial phase signals (PPS) embedded in Gaussian noise. We consider an estimation method based on an approximate linear state space representation of the polynomial phase signal. This approach offers the opportunity to use a standard Kalman filtering procedure in view to estimate the parameters of PPS signals. Procedure simulations were made on linear chirp sinusoids with time-varying amplitude and are consistent with the theoretical approach. The paper presents the most important results.en_US
dc.language.isoenen_US
dc.publisherTimişoara : Editura Politehnicaen_US
dc.relation.ispartofseriesSeria electronică şi telecomunicaţii;Tom 52(66), fasc 2 (2007)-
dc.subjectKalman filteren_US
dc.subjectPolynomial phase signalsen_US
dc.subjectLinear state modelen_US
dc.subjectParametric identificationen_US
dc.titleA Kalman filtering algorithm for the estimation of chirp signals in Gaussian noise [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole stiintifice/Scientific articles

Files in This Item:
File Description SizeFormat 
BUPT_ART_Gal_f.pdf512.47 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.