DocumentCode :
3277029
Title :
Reduced-Complexity Recursive MMSE Channel Estimator for the Wireless OFDM Systems
Author :
Golovins, Eugene ; Ventura, Neco
Author_Institution :
Univ. of Cape Town, Cape Town
fYear :
2008
fDate :
March 31 2008-April 3 2008
Firstpage :
864
Lastpage :
869
Abstract :
An accurate estimate of the channel frequency response (CFR) needed for OFDM equalisation can be obtained using the linear minimum mean square error (MMSE) algorithm. However, for an optimal operation such an estimator requires real-time inversion of the CFR correlation matrix that is found to be impractical due to considerable increase of the receiver´s complexity. In this article, we develop the ways of design of the MMSE channel estimator yielding near-optimum performance and being computationally efficient at the same time. The proposed technique is based on the transform-domain processing and tracking of the correlation of the channel impulse response (CIR) observation. The former feature allows reducing the size of the correlation matrix, whereas the latter one leads to a design form with no matrix inversions. Simulations show that the developed algorithm achieves performance close to the optimal MMSE estimator and is particularly beneficial for both the sample-spaced and the non-sample-spaced sparse multipath channels.
Keywords :
OFDM modulation; correlation methods; equalisers; frequency response; least mean squares methods; multipath channels; recursive estimation; transient response; wireless channels; CFR correlation matrix; OFDM equalisation; channel frequency response; channel impulse response; linear minimum mean square error algorithm; nonsample-spaced sparse multipath channel; recursive MMSE channel estimator; wireless OFDM system; Africa; Cities and towns; Communications Society; Frequency estimation; Frequency response; Mean square error methods; OFDM; Recursive estimation; Sparse matrices; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location :
Las Vegas, NV
ISSN :
1525-3511
Print_ISBN :
978-1-4244-1997-5
Type :
conf
DOI :
10.1109/WCNC.2008.158
Filename :
4489189
Link To Document :
بازگشت