Extended Kalman Filter for oversampled dynamical phase offset estimation

Authors:
Jordi Vilà Valls;Jean-Marc Brossier;Laurent Ros
Affiliations:
GIPSA-lab, Departement Image Signal, Saint Martin d'Hères, France;GIPSA-lab, Departement Image Signal, Saint Martin d'Hères, France;GIPSA-lab, Departement Image Signal, Saint Martin d'Hères, France
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 3
Cited 1

Fundamentals of statistical signal processing: estimation theory

Fundamentals of statistical signal processing: estimation theory
Phase tracking: what do we gain from optimality? particle filtering versus phase-locked loops

Signal Processing
Analytic and Asymptotic Analysis of Bayesian CramÉr–Rao Bound for Dynamical Phase Offset Estimation

IEEE Transactions on Signal Processing

Oversampled phase tracking in digital communications with large excess bandwidth

Signal Processing

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Abstract

In this paper, we present an application of the Extended Kalman Filter for the on-line estimation of a dynamical carrier phase offset. The novel approach implies deriving the filter in an oversampled scenario in a digital receiver. We consider a Brownian phase evolution in a Data Aided scenario. Our numerical results using a BOC shaping pulse show that using the oversampled signal for estimating the phase offset we can obtain better performances than using a classical synchronizer.