NDLI: An investigation into the noise variance and the SNR estimators in imperfectly-synchronized OFDM systems

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IEEE Transactions on Wireless Communications - Front cover

Estimation algorithms of multiple channels and carrier frequency offsets in application to multiuser OFDM systems

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Indoor localization with channel impulse response based fingerprint and nonparametric regression

Optimal multi-channel cooperative sensing in cognitive radio networks

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An investigation into the noise variance and the SNR estimators in imperfectly-synchronized OFDM systems

A novel CAC scheme for homogeneous 802.11 networks

Analysis and optimization of a rateless coded joint relay system

Fast algorithms for joint power control and scheduling in wireless networks

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Frame detection and timing acquisition for OFDM transmissions with unknown interference

Performance analysis and power allocation for M-QAM cooperative diversity systems

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An investigation into the noise variance and the SNR estimators in imperfectly-synchronized OFDM systems

Content Provider	IEEE Xplore Digital Library
Author	Wei-Chieh Huang Chih-Peng Li Hsueh-Jyh Li
Copyright Year	2002
Abstract	Orthogonal frequency division multiplexing (OFDM) systems require the knowledge of signal-to-noise ratio (SNR) at the receiver in order to optimize the system performance. In general, the noise variance is required by the SNR estimator and the knowledge of noise variance also improves the performance of carrier frequency offset (CFO) and channel state estimations. This paper commences by investigating the maximum likelihood noise variance estimator (ML-NVE) in OFDM systems with imperfect synchronization. Theoretical derivations show that both the mean and the variance of the ML-NVE are functions of the CFO and the advanced timing offset (ATO). In particular, it is demonstrated that the mean of the ML-NVE converges to a CFO-independent value as the ATO increases, while the variance converges to a CFO-dependent value. By exploiting the analytical results of the ML-NVE, we further investigate the SNR estimator. It is mathematically demonstrated that the SNR estimate is biased in the presence of CFO and ATO. Finally, the validity of the theoretical observations is confirmed by simulation experiments.
File Size	353219
File Format	PDF
ISSN	15361276
Volume Number	9
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio OFDM Frequency estimation Channel estimation Timing Frequency division multiplexing System performance Maximum likelihood estimation Frequency synchronization Wireless communication OFDM, noise variance, maximum likelihood estimation, carrier frequency offset, timing offset.
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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