DocumentCode
3410297
Title
Complex-valued QR decomposition implementation for MIMO receivers
Author
Salmela, Perttu ; Burian, Adrian ; Sorokin, Harri ; Takala, Jarmo
Author_Institution
Dept. of Comput. Syst., Tampere Univ. of Technol., Tampere
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
1433
Lastpage
1436
Abstract
Multiple input multiple output (MIMO) transmission is an emerging technique targeted at 3G long term evolution (LTE) systems. One vital baseband function in MIMO receivers is QR decomposition of the channel matrix. In this paper, a processor based complex-valued QR decomposition is presented. The processor is enhanced with complex arithmetic and inverse square root function units. The proposed processor fits well with the real-time requirements of the MIMO receiver. The computing power is tailored for typical MIMO systems. Due to the generality of the applied computing resources it can also be used for other tasks. Also, the presented principles can be applied on any customizable processor architectures to accelerate QR decomposition.
Keywords
3G mobile communication; MIMO communication; matrix decomposition; microprocessor chips; radio receivers; 3G long term evolution systems; MIMO receivers; MIMO systems; channel matrix; complex arithmetic units; complex-valued QR decomposition; customizable processor architectures; inverse square root function units; multiple input multiple output transmission; Application specific processors; Arithmetic; Baseband; Computer architecture; Hardware; Long Term Evolution; MIMO; Matrix decomposition; OFDM; Receiving antennas; MIMO; QR decomposition; TTA; processor;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4517889
Filename
4517889
Link To Document