DocumentCode :
2294250
Title :
TSVD-EM channel estimation for transmit diversity in LTE systems
Author :
Liu, Yang ; Sezginer, Serdar
Author_Institution :
Sequans Commun., Paris, France
fYear :
2012
fDate :
1-4 April 2012
Firstpage :
331
Lastpage :
335
Abstract :
In this paper, the truncated singular value decomposition expectation-maximization (TSVD-EM) based channel estimation on single transmit antenna transmission is extended to transmit diversity transmission. Particular attention is given to Long Term Evolution (LTE) systems. In order to obtain the received symbols for each transmit antenna, an approximation is proposed by using the soft symbols and channel estimates from the previous iteration. We prove that the mean square error (MSE) of TSVD-EM on transmit diversity transmission has almost the same constant value at high signal-to-noise ratio (SNR) as on single transmitter antenna case. Simulation results show that the proposed TSVD-EM channel estimation improves system performances remarkably and approaches the performance with perfect channel state information. Even without pilot boosting used in LTE systems, the TSVD-EM achieves the same performances as with pilot boosting.
Keywords :
Long Term Evolution; channel estimation; expectation-maximisation algorithm; mean square error methods; singular value decomposition; transmitting antennas; LTE systems; Long Term Evolution systems; MSE; SNR; TSVD-EM channel estimation; channel state information; high signal-to-noise ratio; mean square error; pilot boosting; single transmit antenna transmission; soft symbols; transmit diversity transmission; truncated singular value decomposition expectation-maximization; Channel estimation; Interpolation; MIMO; OFDM; Receiving antennas; Silicon; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location :
Shanghai
ISSN :
1525-3511
Print_ISBN :
978-1-4673-0436-8
Type :
conf
DOI :
10.1109/WCNC.2012.6214382
Filename :
6214382
Link To Document :
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