NDLI: MMSE Noise Plus Interference Power Estimation in Adaptive OFDM Systems

Content Provider	IEEE Xplore Digital Library
Author	Yucek, T. Arslan, H.
Copyright Year	1967
Abstract	Noise variance and signal-to-noise ratio are important parameters for adaptive orthogonal frequency-division multiplexing (OFDM) systems since they serve as a standard measure of signal quality. Conventional algorithms assume that the noise statistics remain constant over the OFDM frequency band and, thereby, average the instantaneous noise samples to get a single estimate. In reality, noise is often made up of white Gaussian noise, along with correlated colored noise that unevenly affects the OFDM spectrum. This paper proposes a minimum mean square error (MMSE) filtering technique to estimate the noise power that takes into account the variation of the noise statistics across the OFDM subcarrier index, as well as across OFDM symbols. The proposed method provides many local estimates that allow tracking of the variation of noise statistics in frequency and time. The MMSE filter coefficients are obtained from the mean-squared-error expression, which can be calculated using the noise statistics. Evaluation of the performance with computer simulations shows that the proposed method tracks the local statistics of the noise more efficiently than conventional methods.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	3857
Ending Page	3863
Page Count	7
File Size	199745
File Format	PDF
ISSN	00189545
Volume Number	56
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Adaptive systems OFDM Statistics Frequency estimation Signal to noise ratio Gaussian noise Colored noise Frequency division multiplexing Measurement standards signal-to-noise ratio (SNR) estimation Noise variance estimation orthogonal frequency-division multiplexing (OFDM) SNR estimation noise variance estimation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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