Title :
Linear MMSE Estimation of Large-Magnitude Symmetric Levy-Process Phase-Noise
Author :
Su, Yeong-Tzay ; Wong, Kainam Thomas ; Ho, Keang-Po
Author_Institution :
Dept. of Math., Nat. Kaohsiung Normal Univ., Kaohsiung, Taiwan
fDate :
12/1/2010 12:00:00 AM
Abstract :
The linear minimum-mean-square error (LMMSE) estimator is herein derived to estimate phase-noise of Levy statistics (including Wiener phase-noise) and of arbitrarily large magnitude. This estimator may be pre-set to any latency and any number of tabs. This estimator depends only on the signal-to-(additive)-noise ratio and the phase-noise variance, but requires no matrix-inversion.
Keywords :
least mean squares methods; mobile communication; phase noise; statistics; Levy statistics; large-magnitude symmetric Levy-process phase-noise; linear MMSE estimation; linear minimum-mean-square error estimator; Additive noise; Equations; Estimation; Indexes; Signal to noise ratio; Stochastic processes; Symmetric matrices; Least mean square methods; parameter estimation; phase estimation; phase jitter; phase noise; recursive estimation;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.091310.090700
