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

  • Authors:

  • Martin Davies;Sangarapillai Lambotharan;Joanne Foster;Jonathon Chambers;John McWhirter

  • Affiliations:

  • Department of Electronic and Electrical Engineering, Loughborough University, UK;Department of Electronic and Electrical Engineering, Loughborough University, UK;Department of Electronic and Electrical Engineering, Loughborough University, UK;Department of Electronic and Electrical Engineering, Loughborough University, UK;Center for D.S.P., School of Engineering, Cardiff University, UK

  • Venue:
  • WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
  • Year:
  • 2009

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Abstract

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.