Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21071
Title: Algorithmic extensions of Su-Wong-Ho linear MMSE estimator for large-magnitude Levy-process phase-noise
Authors: Su, Y
Wong, KT 
Issue Date: 2011
Publisher: Institution of Engineering and Technology
Source: Electronics letters, 2011, v. 47, no. 11, p. 653-654 How to cite?
Journal: Electronics letters 
Abstract: A new linear minimum-mean-square error (LMMSE) estimator has recently been proposed by Su, Wong and Ho to estimate phase-noise of (possibly) large magnitude, temporal non-stationarity, and Levy distribution (which includes the Wiener distribution as a special case). This estimator can handle many different degrees of latency. The estimator is adjustable to any number of taps, which may be pre-computed offline, based on only the signal-to-(additive)-noise ratio and the phase-noise's characteristic function. This pre-computation requires no matrix inversion. The above estimator is algorithmically extended for more flexibility in latency, to select the optimum estimator-tap support-window from a wider data-observation window, and to handle newly arrived samples in a computationally efficient manner.
URI: http://hdl.handle.net/10397/21071
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el.2011.0541
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