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IEEE Computer Society Annual Symposium on VLSI (ISVLSI '07)
Fast Complex Valued Matrix Inversion for Multi-User STBC-MIMO Decoding
Porto Alegre, Brazil
March 09-March 11
ISBN: 0-7695-2896-1
Di Wu, Linkoping University
Johan Eilert, Linkoping University
Dake Liu, Linkoping University
Dandan Wang, University of Texas at Dallas
Naofal Al-Dhahir, University of Texas at Dallas
Hlaing Minn, University of Texas at Dallas
This paper studies the efficient complex matrix inversion for multi-user STBC-MIMO decoding. A novel method called Alamouti blockwise analytical matrix inversion (ABAMI) and its programmable VLSI implementation are proposed for the inversion of (in this context) large complex matrices with Alamouti sub-blocks. Our solution significantly reduces the number of operations which makes it more than 4 times faster than several other solutions in the literature. Furthermore, compared to these fixed function VLSI implementations, our solution is more flexible and consumes less silicon area because the hardware can be reused for many other operations. In addition to the routine analysis of the general computational complexity based on the number of basic operations, the computational latency is also measured in clock cycles based on the conceptual hardware for real-time matrix inversion.
Citation:
Di Wu, Johan Eilert, Dake Liu, Dandan Wang, Naofal Al-Dhahir, Hlaing Minn, "Fast Complex Valued Matrix Inversion for Multi-User STBC-MIMO Decoding," isvlsi, pp.325-330, IEEE Computer Society Annual Symposium on VLSI (ISVLSI '07), 2007
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