• DocumentCode
    3065201
  • Title

    Near-ML detection based on semi-definite programming for UWB communications

  • Author

    Zhou, Qi ; Ma, Xiaoli ; Rice, Robert

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2253
  • Lastpage
    2257
  • Abstract
    Recently, multi-symbol based transmitted reference system has drawn attention for UWB communications because of its high performance without estimating the channel explicitly. The maximum-likelihood (ML) detector for multi-symbol transmitted reference system has been proposed to jointly detect the multi-symbol and yields a considerable improvement compared with conventional single symbol detector. However, the high computational complexity incurred by ML detectors hinders their applications to practical systems. In this paper, we propose a polynomial-time (in worse case) approximation near-ML detector based on semi-definite programming (SDP). Simulation results demonstrate that the proposed SDP detector provides almost the same BER performance as the ML detectors and is robust to the multi-access interference.
  • Keywords
    error statistics; maximum likelihood detection; ultra wideband communication; BER performance; UWB communication; computational complexity; maximum likelihood detector; multiaccess interference; multisymbol transmitted reference system; polynomial-time approximation; semidefinite programming; symbol detector; Bit error rate; Computational complexity; Computational modeling; Detectors; Interference; Maximum likelihood detection; Maximum likelihood estimation; Polynomials; Robustness; Ultra wideband communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513512
  • Filename
    5513512