DocumentCode
3381088
Title
Implementation of QR decomposition for MIMO-OFDM detection systems
Author
Lin, Kuang-Hao ; Chang, Robert C. ; Huang, Chien-Lin ; Chen, Feng-Chi ; Lin, Shih-Chun
Author_Institution
Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung
fYear
2008
fDate
Aug. 31 2008-Sept. 3 2008
Firstpage
57
Lastpage
60
Abstract
An improved implementation of QR decomposition for MIMO-OFDM detection based on the Givens rotation method is presented in this paper. The hardware of QR decomposition is constructed by coordinate rotation digital computer (CORDIC) operating with fewer gate counts and lower power consumption than triangular systolic array structures. In wireless communication systems, the accuracy for transmitting signals is essential. Thus, a better data detection algorithm and precise channel estimation method plays an important role here. The channel estimation implemented with QR decomposition is to reduce hardware complexity of MIMO-OFDM detection. The results of implementation reveal that the proposed QR decomposition architecture has shorter clock latency than folding structure and smaller hardware area than Gram-Schmidt.
Keywords
MIMO communication; OFDM modulation; channel estimation; digital arithmetic; wireless LAN; Givens rotation method; MIMO-OFDM detection systems; QR decomposition architecture; channel estimation; clock latency; coordinate rotation digital computer; data detection algorithm; hardware complexity; multiple input multiple output systems; orthogonal frequency division multiplexing; triangular systolic array structures; wireless communication systems; Channel estimation; Hardware; MIMO; Matrix converters; Matrix decomposition; OFDM; Receiving antennas; Systolic arrays; Transmitting antennas; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on
Conference_Location
St. Julien´s
Print_ISBN
978-1-4244-2181-7
Electronic_ISBN
978-1-4244-2182-4
Type
conf
DOI
10.1109/ICECS.2008.4674790
Filename
4674790
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