On Models, Bounds, and Estimation Algorithms for Time-Varying Phase Noise
Paper i proceeding, 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

Författare

M Reza Khanzadi

Chalmers, Mikroteknologi och nanovetenskap (MC2), Mikrovågselektronik

Gigahertzcentrum

Chalmers, Signaler och system, Kommunikations- och antennsystem, Kommunikationssystem

Hani Mehrpouyan

Chalmers, Signaler och system, Kommunikations- och antennsystem, Kommunikationssystem

Erik Alpman

Semcon

Tommy Svensson

Chalmers, Signaler och system, Kommunikations- och antennsystem, Kommunikationssystem

Dan Kuylenstierna

Chalmers, Mikroteknologi och nanovetenskap (MC2), Mikrovågselektronik

Gigahertzcentrum

Thomas Eriksson

Chalmers, Signaler och system, Kommunikations- och antennsystem, Kommunikationssystem

Gigahertzcentrum

Chalmers, Signaler och system, Informationsteori

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

Art Nr. 6140897- 6140897

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Signalbehandling

DOI

10.1109/ICSPCS.2011.6140897

ISBN

978-145771180-0

Mer information

Senast uppdaterat

2018-11-16