ASIC implementation of a modified QR decomposition for tree search based MIMO detection

2013 ◽  
Author(s):  
C. Gimmler-Dumont ◽  
P. Schlafer ◽  
N. Wehn
Keyword(s):  
Qr Decomposition ◽  
Tree Search ◽  
Mimo Detection

scholarly journals A Survey of VLSI Implementations of Tree Search Algorithms for MIMO Detection

2015 ◽  
Vol 35 (10) ◽  
pp. 3644-3674 ◽  
Author(s):  
Ibrahim A. Bello ◽  
Basel Halak ◽  
Mohammed El-Hajjar ◽  
Mark Zwolinski
Keyword(s):  
Search Algorithms ◽  
Tree Search ◽  
Mimo Detection

scholarly journals Implementation of QR Decomposition for MIMO Detection

2015 ◽  
Vol V4 (04) ◽  
Author(s):  
Veena Vijayan ◽  
Mrs. K. Ferents Koni Jiavana ◽  
Keyword(s):  
Qr Decomposition ◽  
Mimo Detection

scholarly journals A CORDIC based QR Decomposition Technique for MIMO Detection

2018 ◽  
Vol 8 (5) ◽  
pp. 2731
Author(s):  
Shirly Edward A. ◽  
Malarvizhi S.
Keyword(s):  
Complexity Analysis ◽  
Multiple Input Multiple Output ◽  
Qr Decomposition ◽  
Mimo Detection ◽  
Hardware Complexity ◽  
Channel Matrix ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Processing Techniques ◽  
Complex Channel

CORDIC based improved real and complex QR Decomposition (QRD) for channel pre-processing operations in (Multiple-Input Multiple-Output) MIMO detectors are presented in this paper. The proposed design utilizes pipelining and parallel processing techniques and reduces the latency and hardware complexity of the module respectively. Computational complexity analysis report shows the superiority of our module by 16% compared to literature. The implementation results reveal that the proposed QRD takes shorter latency compared to literature. The power consumption of 2x2 real channel matrix and 2x2 complex channel matrix was found to be 12mW and 44mW respectively on the state-of-the-art Xilinx Virtex 5 FPGA.

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