Abstract
An energy-efficient hardware architecture of complex-valued matrix lower-upper (LU) triangularization for multi-inputmulti-output (MIMO) receivers is presented in this paper. In the LU triangularization process, Gaussian elimination operation is expressed as a series of vector-scalar products, where basic common computations can be precomputed and shared to reduce computational complexity. Our computation-sharing-based architecture was implemented using a 0.25-mu CMOS process, and the hardware can perform LU triangularization from 2×2 to 8×8 matrices. Numerical results show that the proposed architecture has considerable energy savings over conventional matrix triangularization schemes.
Original language | English |
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Article number | 5545379 |
Pages (from-to) | 632-636 |
Number of pages | 5 |
Journal | IEEE Transactions on Circuits and Systems II: Express Briefs |
Volume | 57 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2010 |
Bibliographical note
Funding Information:Manuscript received March 11, 2009; revised March 6, 2010; accepted May 3, 2010. Date of current version August 13, 2010. This work was supported in part by the Ubiquitous Computing and Network (UCN) Project, Knowledge and Economy Frontier R&D Program of the Ministry of Knowledge Economy in Korea under UCN’s Subproject 10C2-C2-30S. This work was recommended by Associate Editor M. Chakraborty. J.-W. Choi and J. Lee are with Marvell Semiconductor, Santa Clara, CA 95054 USA (e-mail: [email protected], [email protected]). B. G. Min is with Mewtel Technology, Seoul 143-200, Korea. J. Park is with the School of Electrical Engineering, Korea University, Seoul 136-701, Korea (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TCSII.2010.2055991
Keywords
- LU triangularization
- Low-power very large scale integration (VLSI) design
- matrix decomposition
- multi-inputmulti-output (MIMO) demodulation