• DocumentCode
    2503099
  • Title

    Maximum eigenvector based weighted non-coherent receiver for IR-UWB PPM signals

  • Author

    Shen, Bin ; Cui, Taiping ; Zhao, Chengshi ; Kwak, Kyungsup

  • Author_Institution
    Grad. Sch. of Inf. Technol. & Telecommun., Inha Univ., Incheon, South Korea
  • fYear
    2009
  • fDate
    28-30 Sept. 2009
  • Firstpage
    1436
  • Lastpage
    1440
  • Abstract
    This paper proposes a maximum eigenvector based weighted non-coherent receiver (MEV-WNCR) for impulse radio ultra-wideband (IR-UWB) systems with pulse position modulation (PPM). Capitalizing on the SNR maximization criterion, we derive the optimal combining weights for the MEV-WNCR as the maximum eigenvector of the received signal sample covariance matrix. Unlike the conventional WNCR, the a priori knowledge of the channel state information (CSI) and the noise variance are no longer indispensable for obtaining the combining weights and hence the MEV-WNCR serves as a non-data aided WNCR. Analysis and simulations illustrate that the symbol decision directed estimate (SDDE) of the maximum eigenvector possesses almost the same bit error ratio (BER) performance as the ideal one, and the MEV-WNCR yields significant improvement on the system BER performance, compared to the conventional NCR and WNCR.
  • Keywords
    channel estimation; eigenvalues and eigenfunctions; error statistics; radio receivers; ultra wideband communication; IR-UWB PPM signals; bit error ratio; channel state information; maximum eigenvector; pulse position modulation; symbol decision directed estimate; weighted non coherent receiver; Analytical models; Bit error rate; Channel state information; Covariance matrix; Performance analysis; Pulse modulation; Receivers; Signal to noise ratio; Ultra wideband technology; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on
  • Conference_Location
    Icheon
  • Print_ISBN
    978-1-4244-4521-9
  • Electronic_ISBN
    978-1-4244-4522-6
  • Type

    conf

  • DOI
    10.1109/ISCIT.2009.5341041
  • Filename
    5341041