Polynomial matrix QR decomposition and iterative decoding of frequency selective MIMO channels
conference contributionposted on 30.11.2009 by Martin Davies, Sangarapillai Lambotharan, Joanne Foster, Jonathon Chambers, John McWhirter
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
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.
- Mechanical, Electrical and Manufacturing Engineering