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dc.contributor.authorGál, János-
dc.contributor.authorCâmpeanu, Andrei-
dc.contributor.authorNaforniţă, Ioan-
dc.identifier.citationGál, János. A Kalman filtering algorithm for the estimation of chirp signals in Gaussian noise. Timişoara: Editura Politehnica, 2007en_US
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.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
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