DocumentCode :
806299
Title :
Per-tone equalization for MIMO OFDM systems
Author :
Leus, Geert ; Moonen, Marc
Author_Institution :
Katholieke Univ. LeuvenESAT, Leuven, Belgium
Volume :
51
Issue :
11
fYear :
2003
fDate :
11/1/2003 12:00:00 AM
Firstpage :
2965
Lastpage :
2975
Abstract :
This paper focuses on multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems with channel order larger than the cyclic prefix (CP) length. Writing the demodulating fast Fourier transform (FFT) as a sliding FFT followed by a downsampling operation, we show in this paper that by swapping the filtering operations of the MIMO channel and the sliding FFT, the data model for the temporally smoothened received signal of each individual tone of the MIMO OFDM system is very similar to the data model for the temporally smoothened received signal of a MIMO single-carrier (SC) system. As a result, to recover the data symbol vectors, the conventional equalization approach for MIMO SC systems can be applied to each individual tone of the MIMO OFDM system. This so-called per-tone equalization (PTEQ) approach for MIMO OFDM systems is an attractive alternative to the recently developed time-domain equalization (TEQ) approach for MIMO OFDM systems. In the second part of this paper, we focus on direct per-tone equalizer design and adapt an existing semi-blind equalizer design method for space-time block coding (STBC) SC systems to the corresponding semi-blind per-tone equalizer design method for STBC OFDM systems.
Keywords :
MIMO systems; OFDM modulation; blind equalisers; block codes; fast Fourier transforms; filtering theory; signal sampling; space-time codes; FFT demodulation; MIMO OFDM system; MIMO OFDM systems; MIMO single-carrier system; channel order; cyclic prefix length; data model; data symbol vectors; downsampling operation; fast Fourier transform; filtering; multiple-input multiple-output systems; orthogonal frequency division multiplexing; per-tone equalization; semi-blind per-tone equalizer design; sliding FFT; space-time block coding; temporally smoothened received signal; time-domain equalization; Block codes; Data models; Design methodology; Equalizers; Fast Fourier transforms; Filtering; MIMO; OFDM; Time domain analysis; Writing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2003.818208
Filename :
1237428
Link To Document :
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