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Analytic and Asymptotic Analysis of Bayesian Cramér—Rao Bound for Dynamical Phase Offset Estimation.
- Source :
- IEEE Transactions on Signal Processing; Jan2008, Vol. 56 Issue 1, p61-70, 10p, 2 Graphs
- Publication Year :
- 2008
-
Abstract
- In this paper, we present a closed-form expression of a Bayesian Cramer-Ran lower bound for the estimation of a dynamical phase offset in a non-data-aided BPSK transmitting context. This kind of bound is derived considering two different scenarios: a first expression is obtained in an offline context, and then a second expression in an online context logically follows. The SNR-asymptotic expressions of this bound drive us to introduce a new asymptotic bound, namely the asymptotic Bayesian Cramér-Rao Bound. This bound is close to the classical Bayesian bound but is easier to evaluate. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1053587X
- Volume :
- 56
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 28153261
- Full Text :
- https://doi.org/10.1109/TSP.2007.906760