DocumentCode :
1647900
Title :
MMSE Noise Power and SNR Estimation for OFDM Systems
Author :
Yucek, T. ; Arslan, H.
Author_Institution :
Univ. of South Florida, Tampa
fYear :
2006
Firstpage :
1
Lastpage :
4
Abstract :
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 orthogonal frequency division multiplexing (OFDM) sub-carrier index as well as across OFDM symbols. The proposed method provides many local estimates that allow tracking of the variation of the noise statistics in frequency and time. The MMSE filter coefficients are obtained from the mean-squared-error (MSE) 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.
Keywords :
OFDM modulation; filtering theory; least mean squares methods; MMSE; OFDM systems; SNR estimation; mean-squared-error expression; minimum mean-square error filtering technique; noise power estimation; noise statistics; orthogonal frequency division multiplexing; Bandwidth; Channel estimation; Computer simulation; Error analysis; Filtering; Filters; Frequency estimation; OFDM modulation; Signal to noise ratio; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2006 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-0002-7
Type :
conf
DOI :
10.1109/SARNOF.2006.4534725
Filename :
4534725
Link To Document :
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