Please use this identifier to cite or link to this item: https://doi.org/10.1109/PIMRC.2008.4699399
Title: Exact phase noise model and its application to linear minimum variance estimation of frequency and phase of a noisy sinusoid
Authors: Fu, H. 
Kam, P.Y. 
Keywords: Frequency/phase estimation
Linear minimum variance estimator
Noisy sinusoid
Phase noise model
Tikhonov PDF
Issue Date: 2008
Source: Fu, H.,Kam, P.Y. (2008). Exact phase noise model and its application to linear minimum variance estimation of frequency and phase of a noisy sinusoid. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC : -. ScholarBank@NUS Repository. https://doi.org/10.1109/PIMRC.2008.4699399
Abstract: The exact statistical models for the measurement phase noise in estimating the frequency and phase of a single sinusoid over the additive white Gaussian noise channel are derived. The a posteriori probability density function (PDF) and the a priori PDF of the phase noise derived are given by explicit, closed-form expressions that are valid for arbitrary signal-to-noise ratios. It is shown that as far as estimating the single sinusoid angle parameters is concerned, the phase ofthe received signal samples alone is a sufficient statistic, provided that the phase noise is modeled by the a posteriori PDF, which has a Tikhonov distribution. Furthermore, we illustrate that the results derived can yield various phase noise models as special cases, and the underlying physical insights and interconnections that exist among these models are revealed. The application of these models to the design of linear minimum variance estimator is presented, and their estimation performances are compared through computer simulations © 2008 IEEE.
Source Title: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
URI: http://scholarbank.nus.edu.sg/handle/10635/70235
ISBN: 9781424426447
DOI: 10.1109/PIMRC.2008.4699399
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

8
checked on Dec 13, 2017

Page view(s)

13
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.