Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
New Directions in Statistical Signal Processing: From Systems to Brains (Neural Information Processing)
Carrier and clock recovery in (turbo-) coded systems: Cramér-Rao bound and synchronizer performance
EURASIP Journal on Applied Signal Processing
Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
IEEE Transactions on Signal Processing
Smoothing PLLs for QAM dynamical phase estimation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Analytic and Asymptotic Analysis of Bayesian CramÉr–Rao Bound for Dynamical Phase Offset Estimation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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In this paper, we study Bayesian and hybrid Cramer-Rao bounds (BCRB and HCRB) for the code-aided (CA) dynamical phase estimation of QAM modulated signals. In order to avoid the calculus of the inverse of the Bayesian information matrix and of the hybrid information matrix, we present some analytical expressions for the various CRBs, which greatly reduce the computation complexity.