Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation

Authors:
J. Yang;B. Geller;A. Wei
Affiliations:
SATIE, ENS Cachan, France;LEI, ENSTA PARISTECH, France;LATTIS, Université Toulouse II, France
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Abstract

In this paper, we study Bayesian and hybrid Cramer-Rao bounds for the dynamical phase estimation of QAM modulated signals. We present the analytical expressions for the various CRBs. This avoids the calculation of any matrix inversion and thus greatly reduces the computation complexity. Through simulations, we also illustrate the behaviors of the BCRB and of the HCRB with the signal-to-noise ratio.