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Article . 2006
Full-Text: https://doi.org/10.1109/LCOMM.2006.1576558
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Power delay profile and noise variance estimation for OFDM

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2006 United States English Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Communications Letters, volume 10, pages 25-27 (issn: 1089-7798, Copyright policy )
Authors: Cui, Tao; Tellambura, Chintha;

doi: 10.1109/lcomm.2006.1576558

Power delay profile and noise variance estimation for OFDM

Abstract

In this letter, we present cyclic-prefix (CP) based noise-variance and power-delay-profile estimators for Orthogonal Frequency Division Multiplexing (OFDM) systems. Signal correlation due to the use of the CP is exploited without requiring additional pilot symbols. A heuristic estimator and a class of approximate maximum likelihood (ML) estimators are proposed. The proposed algorithms can be applied to both unitary and non-unitary constellations. These algorithms can be readily used for applications such as minimum mean-square error (MMSE) channel estimation.

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United States
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Keywords

SNR estimation, channel estimation, OFDM, 620, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 1%
Top 10%
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bronze
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