DocumentCode
1214687
Title
On the Hybrid Cramér Rao Bound and Its Application to Dynamical Phase Estimation
Author
Bay, Stéphanie ; Geller, Benoit ; Renaux, Alexandre ; Barbot, Jean-Pierre ; Brossier, Jean-Marc
Author_Institution
SATIE Lab., Ecole Normale Super. de Cachan, Cachan
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
453
Lastpage
456
Abstract
This letter deals with the Cramer-Rao bound for the estimation of a hybrid vector with both random and deterministic parameters. We point out the specificity of the case when the deterministic and the random vectors of parameters are statistically dependent. The relevance of this expression is illustrated by studying a practical phase estimation problem in a non-data-aided communication context.
Keywords
phase estimation; signal processing; Cramer Rao bound; deterministic parameters; dynamical phase estimation; hybrid vector estimation; nondata-aided communication context; random parameters; Bayesian methods; Closed-form solution; Context; Health information management; Laboratories; Mean square error methods; Parameter estimation; Phase estimation; Signal processing; Vectors; Cramér–Rao bounds; synchronization parameters estimation;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2008.921461
Filename
4515960
Link To Document