DocumentCode
2890412
Title
Improved Fast Recursive Algorithms for V-BLAST and G-STBC with Novel Efficient Matrix Inversion
Author
Zhu, Hufei ; Chen, Wen ; She, Feng
Author_Institution
Wireless Res. Dept, Huawei Technol. Co., Ltd., Shenzhen, China
fYear
2009
fDate
14-18 June 2009
Firstpage
1
Lastpage
5
Abstract
In this paper, we propose a novel matrix inversion algorithm, which speeds up the corresponding step in the existing fast recursive algorithm for vertical Bell Laboratories layered space-time architecture (V-BLAST) by 1.67. Totally our improved recursive algorithm for V-BLAST speeds up the existing recursive algorithm for V-BLAST by 1.3. Furthermore, we develop an efficient recursive algorithm to implement the minimum mean- square error (MMSE) successive interference cancellation (SIC) detector with optimal ordering for Groupwise Space-Time Block Coded system (G-STBC), by exploiting the properties of the Alamouti structure in the equivalent channel matrix for G- STBC. Our recursive algorithm for G-STBC speeds up the low- complexity MMSE SIC algorithm with sub-optimal ordering for G-STBC by 2.57 approximately.
Keywords
least mean squares methods; matrix inversion; recursive estimation; Alamouti structure; G-STBC; MMSE successive interference cancellation; SIC detector; V-BLAST; efficient matrix inversion; efficient recursive algorithm; equivalent channel matrix; fast recursive algorithm; groupwise space-time block coded system; matrix inversion algorithm; minimum mean-square error; optimal ordering; vertical Bell Laboratories layered space-time architecture; Communications Society; Computational complexity; Covariance matrix; Decoding; Detectors; Diversity methods; Interference cancellation; Receiving antennas; Silicon carbide; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location
Dresden
ISSN
1938-1883
Print_ISBN
978-1-4244-3435-0
Electronic_ISBN
1938-1883
Type
conf
DOI
10.1109/ICC.2009.5199073
Filename
5199073
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