DocumentCode :
2607857
Title :
Efficient Low Complexity Turbo Equalization with Soft Interference Cancellation in MIMO System
Author :
Yanlong Wang ; Yongyu Chang ; Dacheng Yang
Author_Institution :
Wireless Theor. & Technol. Lab. (WT&T), Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
6-9 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
An efficient frequency domain soft interference cancellation (FD-SIC) scheme is proposed for turbo frequency domain equalization (FDE) in multiple-input multiple-output (MIMO) system. It is designed that at the receiver the inter-antenna interference (IAI) is cancelled by prior information in terms of data expectation. It can improve the input signal to interference and noise ratio (SINR) for the equalizer. Then block (data of one transmit antenna) wise frequency domain minimum mean square error (MMSE) equalization is implemented. Later a low complexity algorithm on the basis of single frequency tone (SFT) is deduced. Symbol Log-likelihood ratio (LLR) is calculated from the output of equalizer. Simulation results show that the proposed scheme has better link performance than traditional algorithms.
Keywords :
MIMO communication; equalisers; interference suppression; least mean squares methods; receiving antennas; transmitting antennas; MIMO system; MMSE equalization; frequency domain soft interference cancellation; inter-antenna interference; minimum mean square error; multiple-input multiple-output system; receiver antenna; single frequency tone; symbol log-likelihood ratio; transmit antenna; turbo frequency domain equalization; wise frequency domain; Complexity theory; Frequency domain analysis; Interference; MIMO; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
Conference_Location :
Yokohama
ISSN :
1550-2252
Print_ISBN :
978-1-4673-0989-9
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2012.6239882
Filename :
6239882
Link To Document :
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