On Models, Bounds, and Estimation Algorithms for Time-Varying Phase Noise
Paper in proceedings, 2011

In this paper, first, a new discrete-time model of phase noise for digital communication systems, which is a more accurate model compared to the classical Wiener model, is proposed based on a comprehensive continuous-time representation of time-varying phase noise, and statistical characteristics of this model are derived. Next, the non-data-aided (NDA) and decision-directed (DD) maximum-likelihood (ML) estimators of time-varying phase noise, using the proposed discrete-time model are derived. To evaluate the performance of the proposed estimators, the Cramer-Rao lower bound (CRLB) for each estimation approach is derived and by using Monte-Carlo simulations it is shown that the mean-square error (MSE) of the proposed estimators converges to the CRLB at moderate signal-to-noise ratios (SNR). Finally, simulation results show that the proposed estimators outperform existing estimation methods as the variance of the phase noise process increases.

non-data-aided (NDA)

Wiener model

Time-varying phase noise

decision-directed (DD)

maximum-likelihood (ML)

Cramer-Rao lower bound (CRLB)

phase noise estimation

Author

M Reza Khanzadi

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

GigaHertz Centre

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Hani Mehrpouyan

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Erik Alpman

Semcon

Tommy Svensson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Dan Kuylenstierna

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

GigaHertz Centre

Thomas Eriksson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

GigaHertz Centre

Chalmers, Signals and Systems, Information theory

5th International Conference on Signal Processing and Communication Systems (ICSPCS2011)

Art Nr. 6140897- 6140897

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Signal Processing

DOI

10.1109/ICSPCS.2011.6140897

ISBN

978-145771180-0

More information

Latest update

11/16/2018