• DocumentCode
    1843951
  • Title

    TOA estimation after power transformation in IR UWB ranging with energy detection receiver

  • Author

    Wen-yan Liu ; Xiao-tao Huang ; Hong Ding

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    1
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    60
  • Lastpage
    64
  • Abstract
    To improve time based impulse radio ultra wideband (IR UWB) ranging with energy detection (ED) receiver and make it easy to operate, we consider the power transformation in the study. TOA estimation accuracy depends on the detection of the first path (FP). However, the FP is hard to detect under low signal to noise ratios (SNR). Theoretically, the output of the receiver follows the central or non-central chi-squared distribution, but the distribution is not easy to operate. Many detectors are under the assumption that the signal is normally distributed. The power transformation can transform the non-normal signal into a normal one when the power transformation parameter is smaller than one. Traditionally, most do not use the transformation when the power transformation parameter is bigger than one. We find it useful. Then the transformed data in the noise region follow the lognormal distribution. Based on these characteristics, we can detect the FP in dense multipath. Simulation results under the IEEE 802.15.4a channels demonstrate that they are effective.
  • Keywords
    log normal distribution; multipath channels; radio receivers; signal detection; time-of-arrival estimation; ultra wideband communication; IEEE 802.15.4a channels; IR UWB ranging; TOA estimation; dense multipath; energy detection receiver; first path detection; impulse radio; lognormal distribution; noncentral chi-squared distribution; power transformation; signal to noise ratio; TOA; Ultra wideband; energy detection; power transformation; probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491562
  • Filename
    6491562