An extended kalman filter framework for joint phase noise, CFO and sampling time error estimation
Paper in proceedings, 2020

We present a framework for joint estimation and compensation of three major oscillator impairments, namely sampling time error (STE), carrier frequency offset (CFO) and phase noise (PN). In particular, we model these impairments as Wiener processes and introduce a pilot-aided approach which facilitates their joint estimation. The proposed solution is carried out in two steps: first, an initial estimation of the transmitted symbols is acquired by applying an extended Kalman filter (EKF) on the pilot symbols and then, a second EKF is applied on the estimated symbols which yields an accurate tracking of STE, PN and CFO over an additive white Gaussian noise channel. Our numerical results demonstrate the efficacy of the proposed solution.

Carrier frequency offset

Sampling time error

Extended Kalman filter

Phase noise

Synchronization

Author

Nima Hajiabdolrahim

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Sina Rezaei Aghdam

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Thomas Eriksson

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Vol. 2020-August 9217229

31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020
Virtual, London, United Kingdom,

Subject Categories

Probability Theory and Statistics

Control Engineering

Signal Processing

DOI

10.1109/PIMRC48278.2020.9217229

More information

Latest update

12/21/2020