Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14377
Title: Linear MMSE estimation of large-magnitude symmetric Levy-process phase-noise
Authors: Su, YT
Wong, KT 
Ho, KP
Keywords: Least mean square methods
parameter estimation
phase estimation
phase jitter
phase noise
recursive estimation
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on communications, 2010, v. 58, no. 12, 5582321, p. 3369-3374 How to cite?
Journal: IEEE transactions on communications 
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.
URI: http://hdl.handle.net/10397/14377
ISSN: 0090-6778
EISSN: 1558-0857
DOI: 10.1109/TCOMM.2010.091310.090700
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