Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation
Information Theory
2015-12-01 v1 Systems and Control
math.IT
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. Index Terms-Bayesian Cramer-Rao Bound (BCRB), Hybrid Cramer-Rao Bound (HCRB), Synchronization Performance
Cite
@article{arxiv.1511.09113,
title = {Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation},
author = {Jianxiao Yang and Benoit Geller and A Wei},
journal= {arXiv preprint arXiv:1511.09113},
year = {2015}
}