Name
Abstract | ||
|---|---|---|
This paper presents a low complexity QR decomposition (QRD) architecture for MIMO detector. In the proposed approach, various CORDIC-based QRD algorithms are efficiently combined together to reduce the computational complexity of the QRD hardware. Based on the computational complexity analysis on various QRD algorithms, a low complexity approach is selected at each stage of QRD process. The proposed QRD architecture can be applied to any arbitrary dimension of channel matrix, and the complexity reduction grows with the increasing matrix dimension. Our QR decomposition hardware was implemented using Samsung 0.13 μm technology. The numerical results show that the proposed architecture achieves 47% increase in the QAR (QRD Rate/Gate count) with 28.1% power savings over the conventional Householder CORDIC-based architecture for the 4x4 matrix decomposition. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISCAS.2014.6865479 | ISCAS |
Keywords | Field | DocType |
channel matrix,cordic-based qrd algorithms,qrd rate/gate count,samsung technology,householder cordic-based architecture,computational complexity,low-complexity composite,mimo detector,mimo communication,matrix decomposition,qrd hardware,matrix dimension,low complexity qr decomposition architecture,size 0.13 mum,signal detection,computational complexity analysis | Gate count,Computer science,Matrix (mathematics),Parallel computing,Matrix decomposition,Communication channel,Electronic engineering,Reduction (complexity),CORDIC,QR decomposition,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
0271-4302 | 3 | 0.47 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ji-Hwan Yoon | 1 | 20 | 1.98 |
| Dongyeob Shin | 2 | 16 | 3.82 |
| Jongsun Park | 3 | 323 | 50.88 |