• DocumentCode
    2930131
  • Title

    Post detection integration for ultra-wideband systems with binary orthogonal signaling

  • Author

    Dahlhaus, Dirk

  • Author_Institution
    Commun. Technol. Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
  • fYear
    2005
  • fDate
    5-8 Sept. 2005
  • Firstpage
    136
  • Lastpage
    141
  • Abstract
    In this paper, an iterative non-coherent post detection integration (PDI) scheme is analyzed for binary orthogonal signaling which is a suitable approach for simple detection in ultra-wideband systems with slowly fading channel characteristics. Unlike in the coherent case relying on first-order channel characteristics, the PDI operation depends exclusively on second-order moments such as the power-delay profile and the thermal noise power spectral density. We derive analytic and numeric expressions for the uncoded bit-error rate in Gaussian delay-dispersive fading channels and discuss the performance for different values of system parameters. It turns out that in a typical indoor environment, the PDI exhibits a 6 dB loss in signal-to-noise ratio as compared to the optimum coherent detection with perfect channel knowledge.
  • Keywords
    Gaussian channels; error statistics; fading channels; iterative methods; telecommunication signalling; thermal noise; ultra wideband communication; BER; Gaussian delay-dispersive fading channels; binary orthogonal signaling; bit-error rate; iterative noncoherent post detection integration scheme; post detection integration; power spectral density; power-delay profile; thermal noise; ultrawideband systems; Bit error rate; Delay; Fading; Indoor environments; Iterative methods; Performance analysis; Signal analysis; Signal to noise ratio; Ultra wideband technology; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra-Wideband, 2005. ICU 2005. 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9397-X
  • Type

    conf

  • DOI
    10.1109/ICU.2005.1569972
  • Filename
    1569972