Linear MMSE estimation of large-magnitude symmetric Levy-process phase-noise

Yeong Tzay Su; Kainam Thomas Wong; Keang Po Ho

doi:10.1109/TCOMM.2010.091310.090700

Linear MMSE estimation of large-magnitude symmetric Levy-process phase-noise

Yeong Tzay Su, Kainam Thomas Wong, Keang Po Ho

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

5 Citations (Scopus)

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.

Original language	English
Article number	5582321
Pages (from-to)	3369-3374
Number of pages	6
Journal	IEEE Transactions on Communications
Volume	58
Issue number	12
DOIs	https://doi.org/10.1109/TCOMM.2010.091310.090700
Publication status	Published - 1 Dec 2010

Keywords

Least mean square methods
parameter estimation
phase estimation
phase jitter
phase noise
recursive estimation

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1109/TCOMM.2010.091310.090700

Cite this

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KW - Least mean square methods

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KW - phase estimation

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KW - recursive estimation

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Linear MMSE estimation of large-magnitude symmetric Levy-process phase-noise

Abstract

Keywords

ASJC Scopus subject areas

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