DocumentCode
802817
Title
Combined QRD-M and DFE detection technique for simple and efficient signal detection in MIMO-OFDM systems
Author
Baek, Myung-Sun ; You, Young-Hwan ; Song, Hyoung-Kyu
Author_Institution
uT Commun. Res. Inst., Sejong Univ., Seoul
Volume
8
Issue
4
fYear
2009
fDate
4/1/2009 12:00:00 AM
Firstpage
1632
Lastpage
1638
Abstract
An efficient MIMO signal detection technique with low complexity is presented for MIMO-OFDM systems. The proposed technique has a feature of combined QRD-M and DFE detection. In our detection technique with M transmit antennas, after QRD-M detection is executed for first T detection steps, DFE detection is executed for last M - T detection steps. This approach is simple and has low complexity, because the computations for QRD-M is limited by the newly adopted parameter T. From simulation results, the complexity of the proposed technique with 4 times 4 and T = 2 is reduced by 61% compared with that of the conventional QRD-M at the expense of about 0.7dB degradation of BER performance at BER=10-4. The simulations are executed in Ricean and Rayleigh channel models. And the simulation of proposed technique is executed by using estimated channel. Through the simulations, it is ascertained that the proposed detection can be used for Ricean and Rayleigh channel models as well as estimated channel.
Keywords
MIMO communication; OFDM modulation; Rayleigh channels; Rician channels; channel estimation; error statistics; signal detection; BER; DFE detection technique; MIMO-OFDM systems; Rayleigh channel models; Ricean channel models; channel estimation; combined QRD-M technique; signal detection; Bit error rate; Computational modeling; Decision feedback equalizers; Degradation; MIMO; OFDM; Rayleigh channels; Signal detection; Transmitting antennas; Wireless communication; DFE detector; MIMO-OFDM; QR-decomposition; QRD-M algorithm; V-BLAST;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2009.071129
Filename
4907433
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