DSpace Repository
A Kalman filtering algorithm for the estimation of chirp signals in Gaussian noise [articol]
JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | Gál, János | |
| dc.contributor.author | Câmpeanu, Andrei | |
| dc.contributor.author | Naforniţă, Ioan | |
| dc.date.accessioned | 2020-04-16T05:31:16Z | |
| dc.date.accessioned | 2021-03-01T08:55:25Z | |
| dc.date.available | 2020-04-16T05:31:16Z | |
| dc.date.available | 2021-03-01T08:55:25Z | |
| dc.date.issued | 2007 | |
| dc.identifier.citation | Gál, János. A Kalman filtering algorithm for the estimation of chirp signals in Gaussian noise. Timişoara: Editura Politehnica, 2007 | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1620 | |
| dc.description.abstract | The 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.iso | en | en_US |
| dc.publisher | Timişoara : Editura Politehnica | en_US |
| dc.relation.ispartofseries | Seria electronică şi telecomunicaţii;Tom 52(66), fasc 2 (2007) | |
| dc.subject | Kalman filter | en_US |
| dc.subject | Polynomial phase signals | en_US |
| dc.subject | Linear state model | en_US |
| dc.subject | Parametric identification | en_US |
| dc.title | A Kalman filtering algorithm for the estimation of chirp signals in Gaussian noise [articol] | en_US |
| dc.type | Article | en_US |
