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Polynomial matrix QR decomposition and iterative decoding of frequency selective MIMO channels

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conference contribution
posted on 2009-11-30, 10:13 authored by Martin Davies, Sangarapillai LambotharanSangarapillai Lambotharan, Joanne Foster, Jonathon Chambers, John McWhirter
For a frequency flat multi-input multi-output (MIMO) system the QR decomposition can be applied to reduce the MIMO channel equalization problem to a set of decision feedback based single channel problems. Using a novel technique for polynomial matrix QR decomposition (PMQRD) based on Givens rotations, we show the PMQRD can do likewise for a frequency selective MIMO system. Two types of transmitter design, based on Horizontal and Vertical Bell Laboratories Layered Space Time (H-BLAST, V-BLAST) encoding have been implemented. Receiver processing utilizes Turbo equalization to exploit multipath delay spread and to facilitate multi-stream data feedback. Average bit error rate simulations show a considerable improvement over a benchmark orthogonal frequency division multiplexing (OFDM) technique. The proposed scheme thereby has potential applicability in MIMO communication applications, particularly for a TDMA system with frequency selective channels.



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DAVIES, M. ... et al, 2009. Polynomial matrix QR decomposition and iterative decoding of frequency selective MIMO channels. IN: Proceedings of Wireless Communications and Networking Conference, 2009. WCNC 2009, Budapest, 5-8 April 2009, pp. 1-6




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