• DocumentCode
    1778910
  • Title

    A FPGA Implementation of MMSE MUD Algorithm for TDRSS

  • Author

    Wu Zhilu ; Yin Liang ; Cui Kai ; Yin Zhendong

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    18-20 Sept. 2014
  • Firstpage
    427
  • Lastpage
    430
  • Abstract
    Multiple user satellites monitor is an important technology which can improve both the monitoring network coverage and the capacity of multi-target signal processing. Multi user detection (MUD) is one of the key technology for multiple user satellites communication. In this paper, a new algorithm for MUD is implemented on field-programmable gate array (FPGA). This FPGA design is based on the minimum mean square error (MMSE) algorithm which consists of two main components: Matched filter and minimum mean square error matrix. Additionally, in order to conduct Monte Carlo simulation, we adopt a way which based on Mat lab, UART and FPGA platform.
  • Keywords
    Monte Carlo methods; field programmable gate arrays; least mean squares methods; matched filters; multiuser detection; satellite communication; satellite tracking; signal processing; target tracking; FPGA implementation; MMSE MUD algorithm; Matlab; Monte Carlo simulation; TDRSS; UART; field programmable gate array; matched filter; minimum mean square error algorithm; monitoring network coverage; multiple user satellites communication; multiple user satellites monitor; multitarget signal processing; multiuser detection; tracking and data relay satellite system; Algorithm design and analysis; Detectors; Field programmable gate arrays; MATLAB; Matched filters; Multiaccess communication; Multiuser detection; DS-CDMA; FPGA Implementation; MMSE; MUD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-6574-8
  • Type

    conf

  • DOI
    10.1109/IMCCC.2014.95
  • Filename
    6995065