Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9993
Title: Linear minimum-mean-squared error estimation of phase noise, which has a symmetric levy distribution and a possibly large magnitude, from observables at irregular instants
Authors: Su, YT
Song, Y
Wong, KT 
Issue Date: 2013
Publisher: Inst Engineering Technology-Iet
Source: IET communications, 2013, v. 7, no. 14, p. 1487-1496 How to cite?
Journal: IET Communications 
Abstract: This study extends an algorithm, previously proposed by the present authors, for 'linear minimum-mean-squared error' estimation of phase noise of (possibly) temporal non-stationarity, large magnitude, 'non'-identical increments that have a Levy distribution, of which the Wiener distribution represents a special case. This estimator-taps may be pre-set to any number, may be pre-computed offline with no matrix inversion, based on the prior knowledge of only the signal-to-(additive)- noise ratio and the phase-noise's characteristic function. That estimator may be set to various degrees of latency. This is here generalised to allow observables at irregular time-instants (e.g. because of the irregular placement of pilot symbols in the transmitted waveform), under which the phase-noise increments become non-identically distributed. This study handles this more complicated scenario.
URI: http://hdl.handle.net/10397/9993
ISSN: 1751-8628
DOI: 10.1049/iet-com.2013.0144
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