• DocumentCode
    3247978
  • Title

    Application-specific Instruction Set Processor Implementation of List Sphere Detector

  • Author

    Antikainen, Juho ; Salmela, Perttu ; Silven, Olli ; Juntti, Markku ; Takala, Jarmo ; Myllylä, Markus

  • Author_Institution
    Univ. of Oulu, Oulu
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    943
  • Lastpage
    947
  • Abstract
    Multiple-input multiple-output (MIMO) technology enables higher transmission capacity without additional frequency spectrum and is becoming a part of many wireless system standards. Sphere detection has been introduced in MIMO systems to achieve maximum likelihood (ML) or near-ML estimation with reduced complexity. This paper presents an application-specific instruction set processor (ASIP) implementation of if-best list sphere detector (LSD) using the transport triggered architecture (TTA). The implementation is based on using memory and heap data structure for symbol vector sorting. The design space is explored by presenting several variations of the implementation and comparing them with each other in terms of latency and hardware complexity. An early proposal for a parallelized architecture with a detection throughput of approximately 5.3 Mbps is presented.
  • Keywords
    MIMO communication; maximum likelihood estimation; signal detection; ASIP; LSD; MIMO; ML; application-specific instruction set processor; frequency spectrum; hardware complexity; list sphere detector; maximum likelihood estimation; multiple-input multiple-output technology; sphere detector; symbol vector sorting; transport triggered architecture; wireless system standards; Application specific processors; Data structures; Delay; Detectors; Frequency; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Sorting; Space exploration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487358
  • Filename
    4487358