Title :
Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation
Author :
Yang, J. ; Geller, B. ; Wei, A.
Author_Institution :
SATIE, ENS Cachan, Paris
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.
Keywords :
Bayes methods; phase estimation; quadrature amplitude modulation; Bayesian bound; Cramer-Rao bound; QAM dynamical phase estimation; quadrature amplitude modulation; Bayesian methods; Binary phase shift keying; Computational modeling; Frequency synchronization; Information analysis; Phase estimation; Phase modulation; Phase noise; Quadrature amplitude modulation; Signal to noise ratio; Bayesian Cramer-Rao Bound (BCRB); Hybrid Cramer-Rao Bound (HCRB); Synchronization Performance;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960329
