Efficient VLSI Architectures for Recursive Vandermonde QR Decomposition in Broadband OFDM Pre-distortion

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE Wireless Communications and Networking Conferenceen_US
dc.contributor.authorGuo, Yuanbinen_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:46:10Zen_US
dc.date.available2007-10-31T00:46:10Zen_US
dc.date.issued2005-03-01en_US
dc.date.modified2005-12-09en_US
dc.date.note2005-12-05en_US
dc.date.submitted2005-03-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractThe Vandermonde system is used in OFDM predistortion to enhance the power efficiency dramatically. In this paper, we study efficient FPGA architectures of a recursive algorithm for the Cholesky and QR factorization of the Vandermonde system. We identify the key bottlenecks of the algorithm for the real-time constraints and resource consumption. Several architecture/resource tradeoffs are studied to find the commonalities in the architectures for a best partitioning. Hardware resources are reused according to the algorithmic parallelism and data dependency to achieve the best timing/area performance in hardware. The architectures are implemented in Xilinx FPGA and tested in Aptix real-time hardware platform with 11348 cycles at 25ns clock rate.en_US
dc.identifier.citationY. Guo, "Efficient VLSI Architectures for Recursive Vandermonde QR Decomposition in Broadband OFDM Pre-distortion," 2005.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/WCNC.2005.1424567en_US
dc.identifier.urihttps://hdl.handle.net/1911/19934en_US
dc.language.isoengen_US
dc.subjectOFDMen_US
dc.subjectpredistorteren_US
dc.subjectQR decompositionen_US
dc.subjectVandermondeen_US
dc.subject.keywordOFDMen_US
dc.subject.keywordpredistorteren_US
dc.subject.keywordQR decompositionen_US
dc.subject.keywordVandermondeen_US
dc.titleEfficient VLSI Architectures for Recursive Vandermonde QR Decomposition in Broadband OFDM Pre-distortionen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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