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)
decision-directed (DD)
Wiener model
Time-varying phase noise
maximum-likelihood (ML)
Cramer-Rao lower bound (CRLB)
phase noise estimation
Författare
M Reza Khanzadi
Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner
GigaHertz Centrum
Chalmers, Mikroteknologi och nanovetenskap (MC2), Mikrovågselektronik
Hani Mehrpouyan
Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner
Erik Alpman
Semcon AB
Tommy Svensson
Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner
Dan Kuylenstierna
Chalmers, Mikroteknologi och nanovetenskap (MC2), Mikrovågselektronik
GigaHertz Centrum
Thomas Eriksson
Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner
GigaHertz Centrum
Chalmers, Signaler och system, Informationsteori
5th International Conference on Signal Processing and Communication Systems (ICSPCS2011)
Art Nr. 6140897- 6140897
978-145771180-0 (ISBN)
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier (SSIF 2011)
Telekommunikation
Signalbehandling
DOI
10.1109/ICSPCS.2011.6140897
ISBN
978-145771180-0