Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation - ENSTA Paris - École nationale supérieure de techniques avancées Paris
Communication Dans Un Congrès Année : 2009

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

Jianxiao Yang
Benoit Geller

Résumé

—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. Index Terms—Bayesian Cramer-Rao Bound (BCRB), Hybrid Cramer-Rao Bound (HCRB), Synchronization Performance
Fichier principal
Vignette du fichier
2503_Bayesian and Hybrid Cramer-Rao Bounds for QAM Dynamical Phase Estimation.pdf (178.37 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01224240 , version 1 (04-11-2015)

Identifiants

Citer

Jianxiao Yang, Benoit Geller, A Wei. Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation. Acoustics, Speech and Signal Processing, Apr 2009, Taipei, Taiwan. pp.3297-3300, ⟨10.1109/ICASSP.2009.4960329⟩. ⟨hal-01224240⟩
46 Consultations
128 Téléchargements

Altmetric

Partager

More