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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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.",

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AU - Ho, Keang Po

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N2 - 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.

AB - 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.

KW - Least mean square methods

KW - parameter estimation

KW - phase estimation

KW - phase jitter

KW - phase noise

KW - recursive estimation

UR - https://www.scopus.com/pages/publications/78650414041

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DO - 10.1109/TCOMM.2010.091310.090700

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JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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