A low-complexity VLSI architecture for square root MIMO detection

Zhan Guo, Peter Nilsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

8 Citations (SciVal)

Abstract

Low-complexity VLSI (very large scale integration) architecture of the square root algorithm is proposed for MIMO (multiple-input multiple-output) detection. As a modification to the traditional QR triangular array based architecture, the proposed architecture significantly reduces the area and power consumption with virtually no performance or throughput degradation. The finite word length effects specific to the architecture are analyzed considering trade-offs between the performance and the hardware cost. The proposed VLSI architecture is implemented on a VirtexE series Xilinx FPGA (field programmable gate arrays). For a 4-transmit and 4-receive antennas MIMO system using QPSK (quarter phase-shift keying) modulation scheme, a detecting throughput of 80 Mb/s can be achieved
Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Circuits, Signals, and Systems
PublisherACTA Press
Pages304-309
ISBN (Print)0-88986-351-2
Publication statusPublished - 2003
EventIASTED International Conference on Circuits, Signals and Systems, 2003 - Cancun, Mexico
Duration: 2003 May 192003 May 21

Conference

ConferenceIASTED International Conference on Circuits, Signals and Systems, 2003
Country/TerritoryMexico
CityCancun
Period2003/05/192003/05/21

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • multiple-input multiple-output
  • square root algorithm
  • power consumption
  • finite word length analysis
  • VirtexE series Xilinx FPGA
  • field programmable gate arrays
  • 4-transmit antennas
  • quarter phase-shift keying
  • 4-receive antennas
  • QPSK modulation
  • MIMO detection
  • VLSI architecture
  • very large scale integration

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