Brcich, Ramon ; Zoubir, A. M. (2003)
Parameter estimation of linear frequency modulated signals with missing observations.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003). Hong Kong, China (06.04.2003-10.04.2003)
doi: 10.1109/ICASSP.2003.1201745
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The effect of missing observations, caused by random sensor errors or periodic blocking of the signal, on the estimation of signal parameters is to reduce estimator performance. For the class of polynomial phase signals, existing estimators may suffer a severe degradation in performance depending on the location of the missing observations. Reasons for the drop in performance are determined and several estimators are proposed which behave well even with a large proportion of missing observations.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2003 |
| Autor(en): | Brcich, Ramon ; Zoubir, A. M. |
| Art des Eintrags: | Bibliographie |
| Titel: | Parameter estimation of linear frequency modulated signals with missing observations |
| Sprache: | Englisch |
| Publikationsjahr: | 2003 |
| Ort: | Piscataway, NJ |
| Verlag: | IEEE Operations Center |
| Buchtitel: | 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03) |
| Veranstaltungstitel: | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003) |
| Veranstaltungsort: | Hong Kong, China |
| Veranstaltungsdatum: | 06.04.2003-10.04.2003 |
| DOI: | 10.1109/ICASSP.2003.1201745 |
| Kurzbeschreibung (Abstract): | The effect of missing observations, caused by random sensor errors or periodic blocking of the signal, on the estimation of signal parameters is to reduce estimator performance. For the class of polynomial phase signals, existing estimators may suffer a severe degradation in performance depending on the location of the missing observations. Reasons for the drop in performance are determined and several estimators are proposed which behave well even with a large proportion of missing observations. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik |
| Hinterlegungsdatum: | 20 Nov 2008 08:17 |
| Letzte Änderung: | 20 Dez 2024 10:57 |
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